JP7386368B1 - Treatment effect and treatment process prediction device - Google Patents

Abstract

An object of the present invention is to provide a treatment effect and treatment process prediction device that makes it possible to objectively predict the treatment effect and the state of the treatment process without depending on the experience level and expressiveness of the doctor in charge. [Solution] A method using a treatment effect and treatment process prediction device is based on information on already treated cases (image, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period). , post-healing images (but not limited to these), search based on desired treatment target information, and output effects, costs, etc. as predicted information. [Selection diagram] Figure 2

Description

TECHNICAL FIELD The present invention relates to an apparatus for predicting therapeutic effects and therapeutic processes on a target to be treated on a body that can be observed from the outside.

In society, the majority of people do not have externally observable physical conditions that they would like to receive treatment for (including, but not limited to, birthmarks, spots, burn scars, scars, cleft lips, etc.; the same shall apply hereinafter). People tend to have an aesthetic sense that it is better not to have the desired treatment target. Therefore, it would be painful for an individual who has a desired treatment target, even if the area is hidden under clothing, if someone else sees the area. Therefore, people who have the above-mentioned desired treatment visit medical institutions seeking treatment in order to make the disease smaller and thinner, although complete recovery is desirable. Even if you actually visit a medical institution, etc., it is difficult to obtain information from the person in charge (your doctor, etc.; the same applies hereinafter) that allows you to clearly visualize the results of the treatment. This is because the person in charge's own experience and ability to express themselves are not necessarily sufficient.

Patent Document 1 describes a skin disease system that predicts the corresponding disease name from accumulated skin disease data based on photos of the affected area taken with a digital camera input via a communication network and the contents of the symptoms, and outputs countermeasures. An analysis center device and a skin disease analysis system using the device are described.

JP2005-58398

In the technology described in Patent Document 1, based on an image of a patient's skin disease, a photo of an affected area affected by a skin disease in a database similar to this is selected, and the photo is associated with a photo of the selected executive. The system predicts a patient's skin disease based on information about the disease, and obtains the predicted disease name and treatment. However, no information has been disclosed regarding the extent to which the symptoms will be improved by the treatment. In addition, areas that have been healed but look different from other parts of the human body, such as burn scars or birthmarks that are not caused by subcutaneous bleeding, may be treated as having the same appearance as other parts of the body. If you want to do so, it does not fall within the technical scope of Patent Document 1 because the target is not a disease. Furthermore, it was difficult to know the estimated cost of treatments to improve appearance, and the cost was only known after going to a medical institution and asking about the treatment plan.

Therefore, in the present invention, an image of the treatment target (including, but not limited to, a birthmark, stain, burn scar, wound, cleft lip, etc.) of the person seeking treatment is acquired, and the image of the target to be treated is acquired, and the image of the target to be treated (including, but not limited to, a birthmark, stain, burn scar, wound, cleft lip, etc.) Provided is a treatment effect and treatment process prediction device that searches for similar cases from information regarding the treatment of a completed target and outputs information on the treatment effect and treatment process (before treatment, during treatment, and completed treatment) as predictive information.

In order to solve the problems regarding the therapeutic effect and treatment process prediction device as described above, in this application, as a first invention,
Information that identifies a person who wishes to receive treatment for externally observable physical conditions (including, but not limited to, birthmarks, spots, burn scars, scars, cleft lips, etc.; the same shall apply hereinafter); a treatment seeker identification information acquisition unit (A) that acquires treatment seeker identification information that is;
a treatment seeker attribute information acquisition unit (B) that acquires treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker, who is a person who desires treatment;
Treatment-desired object attribute for acquiring treatment-desired object attribute information that is information indicating attributes related to the treatment-desired object (including, but not limited to, any one or more of location, size, shape, color, and progress; the same shall apply hereinafter) Information acquisition section (C);
a treatment-desired object image information acquisition unit (D) that acquires treatment-desired object image information that is information on images of the treatment-desired object;
a treatment-desiring subject information holding unit (E) that holds treatment-desiring subject information that is information in which treatment-seeking person attribute information, treatment-desiring subject attribute information, and treatment-desiring subject image information are associated with treatment-seeking person identification information;
Information regarding the treatment of other treated subjects (including, but not limited to, any one or more of images, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, and post-healing images). ) and a treated subject information holding unit (F) that holds treated subject information which is information from which pre-treatment information and subsequent treatment effects and/or treatment process information can be obtained;
a treated subject information search unit (G) that searches for treatment examples of cases similar to the treatment desired subject information from the held treated subject information;
Based on the retrieved treated target information, output prediction information based on the retrieved similar treated target information as predictive information of the treatment effect and treatment process when treating the target of the treatment applicant. a prediction information output unit (H) for
The present invention provides a therapeutic effect and a therapeutic process prediction device having the following properties.

As a second invention, based on the first invention,
The treated target information held in the treated target information holding unit (F) provides a treatment effect and a treatment process prediction device including at least one or more of image information before treatment, during treatment, and after treatment.

As a third invention, based on the second invention,
The treated target information search unit (G) has an image search means (J) that searches for treated target information using the images acquired by the treatment desired target image information acquisition unit (D). Provide a prediction device.

As a fourth invention, based on the third invention,
The prediction information output unit (H) provides a treatment effect and treatment process prediction device having a treatment image information output means (K) that outputs image information indicating a treatment process and/or a treated state as prediction information.

As a fifth invention, based on the third invention, the prediction information output unit (H) generates image information that simulates the image information during treatment or treatment that is included in the treatment target information, based on the image information of the patient being treated or having been treated. Provided is a treatment effect and treatment process prediction device having a simulated image information output means (L) that outputs simulated image information.

As the sixth invention, based on the first invention,
The treated target information held in the treated target information holding unit (G) includes at least treatment effect information, which is information about treatment methods useful for those in charge of treatment to carry out the treatment, as treated target information. The present invention also provides a treatment process prediction device.

As the seventh invention, based on the sixth invention,
There is provided a treatment effect and treatment process prediction device according to claim 6, further comprising a treatment support information output unit (M) that outputs treatment support information based on the retrieved treated target information.

Furthermore, the present invention also provides an operating method and a readable operating program for the therapeutic effect and therapeutic process prediction device, which is a computer according to the first to seventh inventions. Further, the operating program may be recorded on a recording medium.

The present invention, which mainly has the above configuration, makes it possible to objectively predict the treatment effect and the state of the treatment process, without relying on the experience and expressiveness of the attending physician.

Functional block diagram of the invention according to Embodiment 1 Operation flowchart diagram of the invention according to Embodiment 1 Hardware diagram of the invention according to Embodiment 1 Functional block diagram of the invention according to Embodiment 2 Operation flowchart diagram of the invention according to Embodiment 2 Hardware diagram of the invention according to Embodiment 2 Functional block diagram of the invention according to Embodiment 3 Operation flowchart diagram of the invention according to Embodiment 3 Hardware diagram of the invention according to Embodiment 3 Functional block diagram of the invention according to Embodiment 4 Operation flowchart diagram of the invention according to Embodiment 4 Hardware diagram of the invention according to Embodiment 4 Functional block diagram of the invention according to Embodiment 5 Operation flowchart diagram of the invention according to Embodiment 5 Hardware diagram of the invention according to Embodiment 5 Functional block diagram of the invention according to Embodiment 6 Operation flowchart diagram of the invention according to Embodiment 6 Hardware diagram of the invention according to Embodiment 6 Functional block diagram of the invention according to Embodiment 7 Operation flowchart diagram of the invention according to Embodiment 7 Hardware diagram of the invention according to Embodiment 7 Overall schematic diagram of the therapeutic effect and therapeutic process prediction device of the present invention Screen example 1 when using the treatment effect and treatment process prediction device of the present invention Screen example 2 when using the treatment effect and treatment process prediction device of the present invention Screen example 3 when using the treatment effect and treatment process prediction device of the present invention Screen example 4 when using the treatment effect and treatment process prediction device of the present invention Screen example 5 when using the treatment effect and treatment process prediction device of the present invention Screen example 6 when using the treatment effect and treatment process prediction device of the present invention Screen example 7 when using the treatment effect and treatment process prediction device of the present invention

<Preconditions for explanation of all embodiments>
<About hardware that can constitute the present invention>
The present invention is an invention that basically uses a computer, but it is realized at least in part by software, by hardware, and by cooperation between software and hardware. In this case, the software performs various calculations using hardware resources and implements various functions through the required data and information. It can be said that information processing by software is concretely realized using hardware resources.

The hardware that realizes all or part of each component of the present invention is comprised of the basic components of a computer, such as a CPU, memory, bus, input/output devices, various peripheral devices, and a user interface. Various peripheral devices include storage devices, Internet interfaces, Internet devices, LAN devices, Wifi (registered trademark) devices, displays, display interfaces, keyboards, mice, speakers, microphones, cameras, videos, televisions, CD devices, and DVDs. devices, Blu-ray devices, USB memory, USB memory interfaces, removable hard disks, general hard disks, projector devices, SSDs, telephones, faxes, copy machines, printing devices, movie editing devices, various sensor devices, etc. .

Further, the present system does not necessarily need to be configured by one housing, but may be configured by connecting multiple housings through communication. In addition, communication may be LAN, WAN, Wifi (registered trademark), Bluetooth (registered trademark), infrared communication, or ultrasonic communication, and even if some of it is installed across national borders. good.

<Sufficiency of the usability of natural laws of the present invention in all embodiments>

The present invention functions in cooperation with a computer and software. In the present invention, images from treatment seekers, treatment seeker identification information, treatment seeker attribute information, treatment desired target attribute information, etc. are acquired from the treatment applicant via the Internet or a dedicated line, and the treatment effect and treatment process prediction device is used. Searches the retained treated target information and outputs it as predicted information. Since it includes processing unique to ICT, such as exchanging the various types of information as data and searching on a computer, it is a so-called business model patent. From this point of view, the claimed invention makes use of the laws of nature when judging resources such as computers based on the matters stated in the claims and specifications and the common general knowledge related to these matters. That will happen.

<Applicant's understanding of the significance of the use of natural laws required by patent law>

The use of natural laws required by the Patent Act refers to the use of natural laws that are useful in industry from the perspective that inventions must have industrial applicability and contribute to the development of industry based on the purpose of the law. This is required to ensure that the invention is capable of In other words, it requires that the invention be industrially useful, that is, that the effects of the invention declared at the time of filing the application can be reproduced with a certain degree of certainty by implementing the invention. From this perspective, the usability of natural laws refers to whether the functions of each of the invention specifying matters (invention constituent elements), which are the composition of the invention to achieve the effects of the invention, are achieved by utilizing natural laws. It is interpreted as bayoi. Furthermore, the effectiveness of an invention is defined as the possibility of providing a certain level of usefulness to the users who use the invention, and it does not matter how the users feel or think about the usefulness. It should not be viewed from that perspective. Therefore, the effects obtained by this treatment effect and treatment process prediction device for the treatment seeker who is the user of the treatment effect and treatment process prediction device, the device manager and/or operator, etc. are psychological effects (such as feeling relieved). Even so, the effect itself is an event outside the scope of determining the usability of the required natural law.

<Hardware configuration>

FIG. 22 schematically shows the overall configuration of this device. A server device A (2221), a server device B (2222), a smartphone of treatment applicant A (2223), on which the program of this device operates via an Internet line (2220) (another commercial line or private line may be used); The smartphone of treatment applicant B (2224), the desktop PC of person A (2225) in charge of treatment, and the notebook PC of person B (2226) in charge of treatment are connected by wire or wirelessly. In FIG. 22, it is divided into server device A (2221) and server device B (2222), but they may be integrated into one device, or they may be divided into three or more devices. In the example of FIG. 22, for example, the treated target information search unit (G) can be configured in server device B (2222), and the others can be configured in server device A (2221). Treatment seekers are not limited to smartphones such as treatment seeker A (2223) and treatment seeker B (2224), but are also connected via tablets, PCs with cameras, and mobile phones with internet connectivity and cameras. It may also be a game machine, etc. Those responsible for treatment are not limited to connecting to a PC, but can also use other information terminals that can connect to the Internet, such as smartphones and tablets. Although not shown, there may be another person who manages and/or operates the server devices (server devices A and B in FIG. 22) of the device of the present invention. The server device can be accessed through an information terminal (such as a PC) that can be connected to the Internet, or the server device can be managed and/or operated by an information terminal directly connected to the server device. If necessary, obtain requests for improvements to this device from those who use or intend to use this device, such as treatment seekers and those responsible for treatment. Obtain requests for improvement of the device for predicting treatment effects and treatment process. By providing this section in the device, it is possible to continuously improve the device.

FIG. 3 is a diagram showing an example of the hardware configuration in the first embodiment. The hardware configuration of the treatment effect and treatment process prediction device in this embodiment will be explained using FIG. 3.

As shown in this figure, the computer includes a chipset, CPU, nonvolatile memory, main memory, various buses, BIOS, various interfaces such as USB and LAN, real-time clock, etc. configured on a motherboard. These operate in cooperation with an operating system, device drivers (for embedding various interfaces such as USB, various devices such as cameras, microphones, speakers or headphones, and displays), various programs, and the like. Various programs and various data constituting the present invention are configured to efficiently utilize these hardware resources to execute various processes. It is connected to the Internet line through a LAN terminal, etc. You may connect to the Internet using WiFi (registered trademark).

≪Chip set≫

A "chip set" is a set of large-scale integrated circuits (LSI) that are mounted on a computer's motherboard and integrate a bridge function, which is a communication function between the CPU's external bus and a standard bus that connects memory and peripheral devices. . There are cases where a two-chip set configuration is adopted and cases where a one-chip set configuration is adopted. A north bridge is provided on the side closer to the CPU and main memory, and a south bridge is provided on the far side that interfaces with relatively low-speed external I/O.

(North Bridge)
The northbridge includes a CPU interface, memory controller, and graphics interface. Most of the functions of a conventional northbridge may be performed by the CPU. The northbridge is connected to a memory slot of the main memory via a memory bus, and is connected to a graphics card slot of a graphics card via a high-speed graphics bus (AGP, PCI Express).

(South Bridge)
The south bridge is connected to a PCI interface (PCI slot) via a PCI bus, and is responsible for I/O functions and sound functions with ATA (SATA) interfaces, USB interfaces, Ethernet interfaces, etc. Incorporating circuits that support PS/2 ports, floppy disk drives, serial ports, parallel ports, and ISA buses, where high-speed operation is not required or possible, hinders the speeding up of the chipset itself. Therefore, it may be separated from the south bridge chip and placed in another LSI called a super I/O chip. A bus is used to connect the CPU (MPU) with peripheral devices and various control units. The buses are connected by chipsets. The memory bus used for connection with the main memory may alternatively have a channel structure in order to increase speed. A serial bus or parallel bus can be used as the bus. Whereas a serial bus transfers data bit by bit, a parallel bus bundles the original data itself or multiple bits extracted from the original data and transmits them simultaneously over multiple communication paths. A dedicated line for clock signals is provided in parallel with the data line to synchronize data demodulation on the receiving side. It is also used as a bus to connect the CPU (chip set) and external devices, and includes GPIB, IDE/(parallel) ATA, SCSI, and PCI. Since there is a limit to speeding up, the data line may be a serial bus in PCI Express, an improved version of PCI, and Serial ATA, an improved version of parallel ATA.

≪CPU≫

The CPU sequentially reads, interprets, and executes a sequence of instructions called a program stored in the main memory, and outputs information consisting of signals to the main memory as well. The CPU functions as the center for performing calculations within the computer. Note that a CPU is composed of a CPU core part that is the center of calculations and its peripheral parts, and inside the CPU there are registers, cache memory, an internal bus that connects the cache memory and the CPU core, a DMA controller, a timer, and a north bridge. Includes connection buses and interfaces. Note that one CPU (chip) may include a plurality of CPU cores. Furthermore, in addition to the CPU, processing may be performed by a graphic interface (GPU) or FPU. Note that although the description in the embodiment is of a two-core type, the present invention is not limited to this. Moreover, the program can also be built into the CPU.

≪Nonvolatile memory≫

(HDD)

The basic structure of a hard disk drive consists of a magnetic disk, a magnetic head, and an arm on which the magnetic head is mounted. The external interface can be SATA (ATA in the past). A sophisticated controller, such as SCSI, is used to support communication between hard disk drives. For example, when copying a file to another hard drive, the controller can read sectors and transfer them to the other hard drive for writing. At this time, the memory of the host CPU is not accessed. Therefore, there is no need to increase the load on the CPU.

(flash memory)
Currently, two types of flash memory are commonly used: NAND flash memory and NOR flash memory. Although there are advantages and disadvantages in read and write speeds, the NAND type is more advantageous for high integration and is used for data storage applications. Compared to hard disk drives, there are no moving parts, so they are smaller and do not generate vibration or noise during operation. However, the unit price for capacity has not fallen to the point where it can replace hard disk drives. Although they are more expensive than hard disk drives, they have the advantage of being smaller and more resistant to shocks. Smartphones and mobile information terminals usually have a storage capacity of about 64 GB to 256 GB for data storage purposes, so flash memory is used to make them smaller and lighter. In PCs, solid state drives (SSDs) made of flash memory are increasingly being used as frequently accessed drives that store OS and application software.

≪Main memory≫

The CPU directly accesses and executes various programs on the main memory. The main memory is a volatile memory, and DRAM is used. The program on the main memory is expanded from the non-volatile memory onto the main memory in response to a program activation command. Thereafter, the CPU continues to execute the program according to various execution instructions and execution procedures within the program.

≪Operating System (OS)≫

An operating system is used to manage the resources on a computer so that they can be used by applications, to manage various device drivers, and to manage the computer itself, which is hardware. Small computers sometimes use firmware as an operating system.

≪BIOS≫

The BIOS causes the CPU to execute the steps to start up the computer's hardware and run the operating system, and is most typically the first piece of hardware that the CPU reads when it receives a computer startup command. . The address of the operating system stored on the disk (non-volatile memory) is written here, and the operating system is sequentially loaded into the main memory by the BIOS loaded on the CPU and becomes operational. Note that the BIOS also has a check function that checks the presence or absence of various devices connected to the bus. The results of the check are stored in main memory and made available to the operating system as appropriate. Note that the BIOS may be configured to check external devices and the like. Note that the computer may be configured to start up using a successor UEFI (Unified Extensible Firmware Interface) having similar functions instead of the BIOS. The above applies to all embodiments as well.

As shown in the figure, the present invention can basically be configured by a general-purpose computer program and various devices. Basically, a computer operates by loading a program stored in non-volatile memory into main memory, and executing processing using the main memory, CPU, and various devices. Communication with devices is performed via an interface connected to a bus line. The interface may include a display interface, a keyboard, a communication buffer, and the like.

Each of the functional blocks constituting the treatment effect and treatment process prediction device described below can be realized by hardware, software, or both hardware and software. Specifically, if a computer is used, the CPU, main memory, GPU, image memory, graphic board, bus, or secondary storage device (non-volatile memory such as a hard disk or flash memory, CD or DVD, etc.) storage media and drives for reading those media), input devices such as operation buttons used for information input, mice, touch panels, electronic pens, joysticks, or joystick-like pointer position input devices used exclusively for touching touch panels. Hardware components such as other external peripheral devices, interfaces for the external peripheral devices, communication interfaces such as LAN terminals, GPS reception interfaces, GPS calculation units, gyro sensors, acceleration sensors, rotation detection sensors, these sensors signal processing device, camera, image file processing circuit, speaker, microphone, audio file processing circuit, communication interface, barcode reader, electronic card reader, POS terminal, face authentication device, encryption device, fingerprint authentication device, palm print Examples include biometric authentication devices such as authentication devices and retinal authentication devices, driver programs for controlling these hardware, and other application programs. In particular, smartphones, tablet terminals, mobile phones, smart watches, personal computers, data center server equipment, wired/wireless networks and interfaces, etc. are used.

Data input from input devices and other interfaces and held in memory or hardware is processed and stored by the CPU's arithmetic processing according to the program developed on the main memory, and the data stored in the respective hardware and software is commands are generated to control the Here, the above program may be realized as a plurality of modularized programs, or may be realized as one program by combining two or more programs.

Further, a part of the present invention can be configured as software. Furthermore, a storage medium on which such software is recorded is also naturally included in the technical scope of the present invention (the same applies not only to this embodiment but also throughout this specification).

<About terms used in the claimed invention>

"Identification information" is a symbol, character, code, etc. used to identify something. However, the identification information itself may be the information to be identified. For example, the identification information that identifies the character string record A may be the character string record A itself. Therefore, the meaning of the treatment applicant identification information may be a simple symbol, character, or code, or the name, name, etc. of the individual treatment applicant identified by the symbol, character, or code.

The term "association" refers to the case where two or more pieces of information are directly related, as well as the case where two or more pieces of information are indirectly related through one or more other pieces of information. It is used in books. An indirect association is not necessarily limited to an association within one device (a device whose casing is a single casing), but also includes an association across a plurality of devices.

Embodiments of the present invention will be described below along with illustrated examples.

<Embodiment 1 Overview> Mainly claims 1, 8, and 15
The treatment effect and treatment process prediction device of Embodiment 1 acquires and retains treatment seeker identification information, treatment seeker attribute information, treatment desired target attribute information, and treatment desired target image information from a treatment seeker. It is configured to search for treatment examples of cases similar to the acquired information on the target to be treated, from information regarding treatments for other treated targets, and to output predictive information.

<Embodiment 1 Functional configuration>
FIG. 1 shows a functional block diagram of a treatment effect and treatment process prediction device according to the first embodiment. The treatment effect and treatment process prediction device (0100) of Embodiment 1 includes a treatment applicant identification information acquisition unit (A) (0101), a treatment applicant attribute information acquisition unit (B) (0102), and a treatment applicant identification information acquisition unit (B) (0102). Information acquisition unit (C) (0103), treatment desired target image information acquisition unit (D) (0104), treatment desired target information retention unit (E) (0105), and treated target information retention unit (F) ( 0106), a treated target information search unit (G) (0107), and a predicted information output unit (H) (0108).

The above functional blocks are an example of implementing the present invention, and functions may be omitted or new functions may be added as appropriate to the extent that the present invention does not conflict with the problems to be overcome and its effects. good. The same applies to the description of Embodiment 1 and subsequent embodiments below.

<Embodiment 1 Description of configuration>
<Embodiment 1 Treatment applicant identification information acquisition unit (A) (0101)>
"Treatment seeker identification information acquisition unit (A)" (0101) is an externally observable body target for treatment (including, but not limited to, birthmarks, spots, burn scars, wounds, cleft lip, etc.; the same applies hereinafter). ) is configured to acquire treatment seeker identification information that is information for identifying a treatment seeker who desires treatment.

"Treatment applicant identification information" is information for identifying a treatment applicant when using the apparatus of the present invention. The device may be configured to allocate a character string such as alphanumeric characters as a user number at the time of registration to the device. Alternatively, the email address of the person seeking treatment, any character string desired by the person seeking treatment (a nickname is fine, but it is a good idea to check for duplicates with existing users and prompt them to re-enter if there is a duplicate), phone number, insurance card number. It may be configured such that a treatment applicant selects a treatment option, and the device allows registration after checking whether the treatment overlaps with other treatment applicants. An individual number may be used if it is legally permitted. The full name of the person seeking treatment may also be used. However, from the perspective of protecting personal information, any character string that does not include personal information is desirable.

In order to input the treatment seeker identification information desired by the treatment seeker and check whether it is duplicated with other treatment seeker identification information that has already been acquired, the following configuration may be used. A treatment seeker identification information candidate determination means for determining whether the input treatment seeker identification information candidate is the same as the treatment seeker identification information that identifies another treatment seeker that has already been obtained. The identification information storage unit (A) has a determination that the treatment applicant identification information acquisition unit (A) is not the same as other treatment applicant identification information that has already been acquired by the treatment applicant identification information candidate determination means. If the result is a result, it is preferable to obtain the input treatment applicant device-specific information candidates.

``Targets for which treatment is desired'' are objects that can be observed from the outside of the body, but not only those that have not been cured, but also those that have been treated once and have been cured but still have marks that can be observed from the outside of the body. is also applicable. For example, in addition to the aforementioned birthmarks, spots, burn scars, and cleft lips, warts, freckles, melasma, moles, acne scars, keratin plugs, pigmentation, surgical suture marks, and piercing holes (if you want to close the piercing holes) ), tattoos (if you want to remove them), wrinkles, sagging skin, etc. Things that can be observed from the outside include yellowing of teeth, tooth loss, alopecia areata, male pattern/female pattern hair loss, varicose veins, cataracts, ptosis, bunions, psoriasis, shingles, blisters, hemorrhoids, Breast reconstruction surgery may also be covered.

This device targets objects that can be observed from the outside of the body as the desired treatment target, but it calculates predictive information based on similar treated target information searched based on the attribute information and image information of the target. If it can be output, even a target to be treated inside the body that cannot be observed from the outside can be treated by this device.

<Embodiment 1 Treatment applicant attribute information acquisition unit (B) (0102)>
The “treatment seeker attribute information acquisition unit (B)” (0102) is configured to acquire treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker who desires treatment. be done.

"Treatment applicant attribute information" is information indicating attributes (age, gender), etc. of a treatment applicant, but is not limited thereto. Information on past medical conditions and allergies (information on allergen types) other than those for which treatment is desired by the person seeking treatment, drug hypersensitivity, alcohol allergy, weight, chronic illness, other diseases currently being treated, medications currently being taken, surgical history, It can also include smoking history, drinking history, etc. For children under the age of 15, there are some drugs that cannot be used, and the prescribed amount is reduced compared to adults (over 15 years old) depending on the age group, and the prescribed amount is reduced based on the child's weight, so weight information is also obtained. It is preferable. When outputting prediction information, which will be described later, if the information is necessary during treatment, for example, chronic disease (in the treated information, it is used if the drug used is a drug that puts a burden on the kidneys and there is a kidney disease. If the treatment cannot be performed due to a condition (e.g. Alternatively, the configuration may be such that the predictive information that can be selected based on the information of the treatment applicant included in the treatment applicant attribute information is first output, and the predictive information that could be selected if there is no chronic disease is output as a reference. Note that this information is information that may be used as a search key when searching for information on treatment results and treatment processes for similar cases. It is preferable that a similar case is a case in which not only the appearance of the target for treatment but also the attribute information of the person seeking treatment is similar.

<Embodiment 1 Treatment desired target attribute information acquisition unit (C) (0103)>
"Treatment desired target attribute information acquisition unit (C)" (0103) is an attribute related to the treatment desired target (including, but not limited to, any one or more of position, size, shape, color, and progress; the same applies hereinafter). The system is configured to acquire treatment-desired target attribute information, which is information indicating.

"Treatment-desired target attribute information" is information about the target for which treatment is desired, and basically includes the information in the above example (including, but limited to, any one or more of the location, size, shape, color, and progress). ). Note that if there are multiple targets for which similar treatment is desired in one area, they may be treated as one. For example, if the burn scars are not continuous but are interrupted in some places, or if there are alopecia areata in several places nearby. The history includes information on when the injury you wish to receive treatment occurred (whether it was a natural injury or the circumstances at the time if it was caused by an accident or disaster), as well as information regarding the diagnosis and treatment received at other medical institutions. May contain information. It is preferable that the information when the patient received treatment at another medical institution includes the name of the medical institution where the treatment was received.

In addition to describing the location of the desired treatment target in words, it is easier to understand if it is obtained by showing it on a schematic diagram of the human body (a 3D model that can be freely rotated up and down, left and right, and enlarged at any desired angle). It is more preferable for a person seeking treatment to enter where the treatment is located on a schematic diagram of the whole body (front, back), for example, if the treatment is on the arm, where it is relative to an enlarged view of the arm. Alternatively, you can enlarge the schematic diagram of the human body on the screen of the information acquisition device, and in the above example, enlarge the arm part and touch the relevant area, or click with the mouse (or click and drag to enclose the area). do. The treatment desired object attribute information acquisition unit (C) may be provided with a treatment desired object position information illustrating means for inputting the position of the treatment desired object on the schematic diagram of the human body.

<Embodiment 1 Treatment-desired subject attribute information acquisition unit (C): Treatment-desired subject identification information acquisition unit>
It is conceivable that a person seeking treatment may simultaneously possess multiple treatment targets (which may be of the same type or different types), so the identification information of the target of treatment request is used as information to identify the target of treatment request. , a treatment-desiring subject identification information acquisition unit may be provided that acquires the treatment-desiring subject identification information in association with the treatment-desiring person identification information. When a treatment-desired subject identification information acquisition unit is provided, the treatment-desired subject information holding unit (E) described later stores treatment-desired person attribute information, treatment-desired subject attribute information, treatment-desired subject image information, and treatment-desired subject identification information. , is configured to hold treatment-desiring target information, which is information associated with treatment-seeking person identification information.

<Embodiment 1 Treatment desired target image information acquisition unit (D) (0104)>
The "treatment desired object image information acquisition unit (D)" (0104) is configured to obtain treatment desired object image information, which is information on images of the treatment desired object.

The "image information of the desired treatment target" can be a photograph taken by the person seeking treatment, an acquaintance, a family member, or a medical professional such as a doctor or nurse. Photographs can be taken using digital cameras, smartphones, tablet terminals, PCs with cameras, portable game consoles with cameras, endoscopes, cameras with magnifying lenses, intraoral cameras, etc. Use multiple images as much as possible, such as overall image information that shows where the body is located, enlarged image information that shows detailed conditions, and image information that shows changes over time by image information immediately after healing and image information at the current time after time has elapsed. It is desirable that a person seeking treatment has a large amount of information registered in the device (obtained by the device). Using image information (exterior photos (which may include photos before and during treatment), X-ray photos, ultrasound images, etc.) taken at the medical institution that treated the subject for which you wish to receive treatment, Or it can be used in conjunction with the above photo. The desired treatment target image information is used as a search key in a treated target information search unit (G), which will be described later. In addition, if the target has been treated and the appearance has been improved, the information regarding the treatment of other treated targets in the search database can be obtained by accumulating images during and after the treatment as described above. It will be available as.

<Embodiment 1 Treatment desired target information holding unit (E) (0105)>
"Treatment desired target information holding unit (E)" (0105) is a treatment desired target which is information in which treatment seeker attribute information, treatment desired target attribute information, and treatment desired target image information are associated with treatment seeker identification information. Configured to hold information.

<Embodiment 1 Treatment desired target information holding unit (E): When there are multiple treatment desired targets>
As described above, when a single treatment applicant has multiple different desired treatment targets, the treatment desired target identification information for identifying the treatment desired target is acquired, and the treatment desired target information holding unit (E) stores the treatment desired target. It can be configured to hold treatment-desired object information, which is information in which patient attribute information, treatment-desired object attribute information, treatment-desired object image information, and treatment-desired object identification information are associated with treatment-desired person identification information.

The desired treatment target identification information can be configured to be held even when one therapist does not have multiple desired treatment targets. Using this device, we can obtain predictive information that predicts treatment effects and treatment processes, and when performing treatment on a target that can be observed from outside the body, images and treatment methods before, during, and after treatment can be obtained. If information such as treatment period, medical institution where the treatment was performed, etc. is stored as treated target information in the treated target information storage section (F) of this device, similar cases of the treatment target of other treatment seekers can be searched. You can increase the population when doing so. Furthermore, if the treatment desired target identification information (after treatment, treated target information identification information) is structured in a hierarchical structure and the classification of the treatment desired target is included in the digits, the treated target information search section (G) described later When searching for information on a treatment-desired subject similar to a treatment-desired subject, the search can be facilitated by referring to the classification.

<Embodiment 1 Treatment-desired subject information holding unit (E): Treatment-desired subject information history holding means>
In order to retain temporally old information when a treatment seeker acquires information regarding the same treatment desired target at intervals of time, the following configuration may be used. A history is created by associating the treatment seeker attribute information, the treatment desire target attribute information, the treatment desire target image information, and the time information indicating the time at which each of the above items was acquired, which is included in the treatment desire target information, with the treatment seeker identification information. It is preferable that the treatment desired object information holding section (E) has a treatment desired object information history holding means that is held as a medical treatment desired object information history holding unit (E). With such a configuration, for example, when a treatment applicant makes corrections or additions to information once input, a history can be kept. If the appearance or condition of the person you are seeking treatment for has changed over time (e.g., a bruise has become thinner, smaller, darker, or wider), you can update the information about the person you are seeking treatment for and keep track of the progress. can be left behind.

<Embodiment 1 Treated subject information holding unit (F) (0106)>
The “treated subject information holding unit (F)” (0106) stores information regarding the treatment of other treated subjects (image, position, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, (including, but not limited to, one or more of the post-healing images) and retains treated target information, which is information from which pre-treatment information and subsequent treatment effects and/or treatment process information can be obtained. It is composed of

"Treatment target information" is information about other people's treated targets (it is not limited to information about other treated targets who have been completely cured by the person seeking treatment). It is preferable to keep as much information as possible, including the age and gender of the person who received treatment, treatment method, treatment period, treatment cost, images (before treatment, during treatment, after treatment) for each treated subject. After healing)) is preferably included. Furthermore, it is preferable that information on the medical institution that performed the treatment is also included. As described later, when outputting as predictive information, it is important to know to what extent the desired patient will recover (improve) based on past similar cases when the treatment is performed, and how much time and cost will be required in that case. This is because it is possible to understand whether If the therapist who received the treatment is an elderly person, recovery may be slow, so it is preferable that age is also included in the information. When the treated subject information includes a treatment method, and if there are conditions for receiving the treatment method, it is preferable to include information on the conditions for receiving the treatment. This may be the case if the treatment method is not suitable for treating the face or sensitive areas, or the drugs used in the treatment method cannot be used by people with certain chronic illnesses.

<Embodiment 1 Treated subject information holding unit (F): Treated subject identification information holding unit>
Treated subject identification information, which is information for identifying a treated subject, may be stored in association with treated subject information. This is useful when managing individual information (editing, editing, adding content, etc.) when maintaining treated target information. To achieve this, it further includes a treated subject identification information holding unit that holds treated subject identification information that is information for identifying a treated subject, and the treated subject information holding unit (F) is configured to store other treated subject identification information. Treatment-related information (including, but not limited to, images, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, and post-healing images) The object information is configured to be held in association with the treated object identification information. It is desirable that treated subject identification information and treated subject information be managed in such a way that individual therapists cannot be identified. Information that can identify an individual, such as a face photo or name, should be blacked out before disclosure, or permission should be given only to a limited number of people, such as the administrator of the device. If the treated object is a face, it is preferable to hide the eyes, or if the eyes are the object, hide the rest of the object to make it difficult to distinguish as an image. It is preferable that treated subject information is collected from as wide a range of hospitals, clinics, other medical-related institutions, health management institutions, etc. as possible and maintained in a centrally managed manner. Therefore, information will be collected from hospitals, clinics, other medical-related institutions, health management institutions, etc. throughout Japan. Furthermore, it would be even better if the information was configured to include foreign countries and regions. Further, it is more preferable that the treated object identification information has a hierarchical structure, and a portion of the plurality of digits is composed of a code for classifying the desired treatment object. This is because this classification code makes it possible to efficiently search for information on treated subjects, which will be described later.

<Embodiment 1 Treated subject information search unit (G) (0107)>
The "treated subject information search unit (G)" (0107) is configured to search for treatment examples of cases similar to the treatment desired subject information from the held treated subject information.

"Similar" means that the externally observable external appearance of the target for treatment is similar to the appearance before the start of treatment, after the start of treatment, or before the end of treatment as indicated in the treated target information. However, it is not just the approximation of the appearance, but also the approximation of the location, size, color, and shape of the desired treatment target that appears on the body. The process after such a change in appearance (change in appearance over time, change in subsequent symptomatic treatment over time, etc.) is similar, and the age, gender, and other attribute information of the therapist are similar. It may also be configured to include things such as. In this case, for the degree of "approximation", a predetermined value determined when each determination element is approximated by a computer can be used. That is, the threshold value for determining whether it is an approximation or not when an approximation is determined by a computer is a design matter, and can also be configured to be settable by the user. Such a function can be configured so that the user can set it using the similarity determination threshold setting section.

Machine learning artificial intelligence (AI) can be used to search for similar cases. The treated target information search unit (G) may be included in this device, or it may be installed in a server device managed by a company that specializes in searches using artificial intelligence, and it can be connected to this device via the Internet or a dedicated communication line. They may be connected and operated as one.

<Embodiment 1 Treated target information search unit (G): search rules>
When the device of the present invention searches for treatment examples for similar cases, the device may be configured to hold rules for narrowing down the search results. In that case, the treated target information search unit (G) further includes a treated target information search rule holding means that holds a treated target information search rule that is a rule for searching treated target information, and The treated target information retrieval unit (G) searches treatment examples of cases similar to the treatment desired target information based on the treated target information search rule held in the treated target information search rule holding means. It is recommended that the search is configured to search from completed target information.

<Embodiment 1 Treated target information search unit (G): Priority assignment>
Unlike the above-mentioned search result narrowing down, when there are multiple search results, a configuration may be provided in which a priority order is given when outputting as prediction information. In that case, configure as follows. The prediction information output unit (H) is a treated object information search result prioritization rule holding unit that holds a treated object information search result prioritization rule, which is a rule for assigning a treated object information search result priority order. and a treated target information search result prioritization means for assigning priorities to the plurality of retrieved pieces of treated target information. As the priority ordering rule, there may be a rule that gives priority order according to the treatment cost, treatment period, improvement effect of treatment, distance between the medical institution where the treatment was performed and the place of residence (address) of the person desired for treatment, etc. If there are multiple search results based on treatment methods that cannot be applied to the person seeking treatment or that have conditions for application, the configuration may be configured to give them lower priority than search results that can be applied without conditions. can. It is preferable to indicate the conditions for application or the reason for non-applicability of search results whose priority has been lowered due to application conditions or inapplicability despite having a more therapeutic effect. This is because if the cause is smoking, obesity, etc., it may be possible to apply it through the efforts of the therapist.

When the treated subject information includes information that can identify the individual therapist, the treated subject information search unit (G) searches for the therapist based on the type of authority of the person who receives the output of the search results as predictive information. Therapist personal information disclosure judgment means that determines whether to disclose or conceal information that can identify an individual, and if it is determined to disclose, output treated target information that does not conceal information that can identify an individual as a search result The present invention can also be configured to include a therapist personal information disclosure search result output means. In the case of the above configuration, the treatment applicant attribute information is configured to include authority information, which is information indicating authority, and is acquired by the treatment applicant attribute acquisition unit (B).

<Embodiment 1 Prediction information output unit (H) (0108)>
The "predictive information output unit (H)" (0108) outputs the retrieved information as predictive information of the treatment effect and treatment process when treating the desired treatment target of the treatment applicant, based on the retrieved treated target information. and is configured to output predictive information based on similar treated subject information.

Here, the word "and" is used to mean the therapeutic effect and/or predictive information on the treatment process, and "therapeutic effect" refers to the objective of the desired treatment on the body that can be observed from the outside at the time the treatment is completed. This refers to the external appearance of the affected area, but is not limited to this, and may also be a verbal expression of the appearance or a rating of the extent. Alternatively, the information may be information on a treated target that is undergoing treatment but has not yet been treated. If the case is a rare condition, there is not enough information about the patient who has been treated, and even information about the treatment process before the end of the treatment may not be sufficient to serve as information for those seeking treatment before the start of treatment. Because it has value.

"Predicted information" is output based on the searched treated target information, and shows the treatment effect (change in condition after treatment from the current situation) of the target desired for treatment, as well as the status during treatment. This is information for making predictions. Depending on the symptoms for which treatment is desired, the retrieved treated information may indicate that there will be little change (the effect is small or non-existent) or that the results will worsen (e.g., bruises or spots become darker or spread). There is also a possible prediction. Alternatively, during the treatment process, it may appear that the condition has worsened by swelling or spreading, but as time passes after the treatment, it may become smaller or thinner than before the treatment, and the effect may appear. For those seeking treatment, visit a medical institution to obtain information such as whether there is a possibility that the target of treatment will be improved by treatment, which treatment methods are most effective, and the relationship between treatment effectiveness and treatment cost (cost performance). you can get before. If information on medical institutions is also included in the predictive information, it may be helpful in selecting a medical institution to visit.

<Embodiment 1 Treatment effect and treatment process prediction device (0100)>
"Treatment effect and treatment process prediction device" (0100) consists of a treatment applicant identification information acquisition unit (A) (0101), a treatment applicant attribute information acquisition unit (B) (0102), and a treatment applicant attribute information acquisition unit (A) (0101). unit (C) (0103), treatment desired target image information acquisition unit (D) (0104), treatment desired target information retention unit (E) (0105), and treated target information retention unit (F) (0106). , a treated target information retrieval unit (G) (0107), and a predicted information output unit (H) (0108), which retrieves image information of the treatment desired target from the treatment applicant, treatment applicant attribute information, and the treatment desired target. It is configured to acquire attribute information and output prediction information.

<Embodiment 1: Example of use of this device>
An example of how this device is used will be explained using FIGS. 23 to 29. Note that the device of the present invention is not limited to the usage examples described below. The example from FIG. 23 is an example in which a treatment applicant uses his or her own camera-equipped smartphone to connect to the apparatus of the present invention through an Internet line. When connecting using a PC or the like without a camera, the device can be used by separately transferring and uploading image data from a device that can take pictures, such as a digital camera.

<Embodiment 1: App: Top page>
FIG. 23 is an example of the top page of an application for a treatment effect prediction system that operates on a smartphone. A ``Login'' button is displayed for those who have already registered as members of this app to log in, and a ``New Member Registration'' button is used for first registering information for those who want to start using the app. An example of new member registration will be explained next.

<Embodiment 1: App: New member registration 1>
When the "new member registration" button is pressed on the top page, the screen changes to new member registration screen 1 as shown in FIG. 24. This is a screen for inputting information about individual members. The information shown on the screen in Figure 24, such as name, age, gender, address, contact information, etc., is the attribute information of the person seeking treatment, and together with the information entered in new member registration 2, which will be explained next, is the attribute information of the person seeking treatment in this device. It will be acquired later in the holding unit (B). When all items for new member registration 1 are entered and "proceed" is pressed at the bottom of the screen, the screen transitions to the new member registration 2 screen shown in FIG. 25.

<Embodiment 1: App: New member registration 2>
FIG. 25 shows an example of the "new member registration" 2 screen. This is an example of a screen for inputting information on past illnesses, chronic diseases, allergies, etc. ``Have you ever had a serious illness?'' is a check for past illnesses, and ``Are you currently being treated for a disease or are you currently using any medications?'' is a check when providing predictive information. Depending on the compatibility with the drug, this information may not be output or may be output with a warning.The presence or absence of allergies is information used to confirm compatibility with drugs that may be used when issuing predictive information (here, disinfectant (It is also possible to input rashes caused by alcohol, etc.). Smoking and drinking habits tend to cause peripheral blood vessels to constrict due to the effect of nicotine, which worsens blood flow in smokers, and depending on the degree of alcohol consumption, there is a possibility of problems with the liver. This information is necessary because there may be restrictions on the drugs or drugs that are planned to be used. Enter this information. After entering all information and pressing the registration button at the bottom of the screen, a new member registration application will be sent from the smartphone of the treatment applicant (in this example, Mr. Takuya Sato) via the Internet. Upon receiving the application, the membership number is acquired by the treatment applicant identification information acquisition unit (A) as treatment applicant identification information in the order of application. In the case of Mr. Takuya Sato, S123456 is assigned as a member number as shown in FIG. 26. The information input on the screens shown in FIGS. 24 and 25, which is transmitted at the same time as the application, is acquired by the treatment applicant attribute information section (B) as treatment applicant attribute information. By pressing the "Register" button, a transition is made to the member's my page shown in FIG. 26.

<Embodiment 1: App: Member My Page, Search TOP>
FIG. 26 shows an example of the my page of Mr. Takuya Sato, who entered information and registered as a new member in FIGS. 24 and 25. Since this app searches for predictive information based on cases, My Page also serves as the search top screen. Mr. Sato's surname is displayed at the top of the screen, and S123456 is displayed below Mr. Sato's surname as the membership number (treatment applicant identification information acquired by the treatment applicant identification information section (A) of this device). . This screen has a button at the top of the screen that says, ``Enter information on desired treatment target,'' ``Enter search refinement conditions,'' and ``Start search,'' which allows you to search using the entered conditions. There is a "View Search History" button to view the information again. At the bottom of the screen, there is an "Edit Treatment Desired Information" button for editing desired treatment information, and an "Edit Member Information" button for editing and updating the member information you just registered. Next, inputting information on desired treatment will be explained.

<Embodiment 1: App: Input of treatment desired target attribute information 1: Input of case and location>
When the user presses the "Input Attribute Information of Desired Treatment Subject" button on the My Page Search TOP screen of FIG. 26, the screen transitions to the Attribute Information Input Screen of Desired Treatment Subject of FIG. An example of inputting treatment desired target attribute information will be explained using FIGS. 27 and 28. FIG. 27 shows a screen for inputting treatment desired target attribute information 1. Enter the type of case you wish to treat and the location information of where the desired treatment is located. In the example of FIG. 27, bruises, scars, burn scars, stains, cleft lips, warts, and tattoos are listed together with selectable round buttons as cases for which treatment is desired. If it is not listed in the examples, select "Other" and enter it in free text format. Below the case input, words indicating locations are listed, and a selection button is placed to the left of each word. In the example of FIG. 27, there is a burn scar on the right hand that is desired for treatment. In the lower half of the screen, a schematic diagram of the front side (ventral side) and back side (dorsal side) of the human body is displayed. When you select the button to the left of a word, the corresponding area in the schematic diagram below may be filled in black, or you can draw the approximate area in the schematic diagram below with your finger or touch pen. It may be configured so that the button next to the word in the corresponding part above is selected, or it may be configured such that the buttons are input separately without interlocking. In FIG. 27, the button next to the "right hand" at the top is selected because the region is drawn on the right hand side of the human body schematic diagram. The classification by words may be further subdivided, or a free input field may be provided so that text can be directly entered in the same way as for cases. After inputting the location of the desired treatment target, press the "Proceed" button to proceed to the screen for inputting the attribute information of the desired treatment target 2.

<Embodiment 1: App: Input attribute information of desired treatment target 2: Input background and image>
FIG. 28 is an example of a screen for inputting treatment desired target attribute information 2. On this screen, enter the time of occurrence, the name of the medical institution where the patient was treated at the time of occurrence, and the image of the person currently seeking treatment. The time of occurrence is information for understanding how much time has passed since the disease was cured, or whether it is a new disease that has just been cured. The name of the medical institution is information that should be entered if possible in order to inquire about the information as needed (it does not have to be filled in). If there is an image file taken in advance, press the "Upload" button, select the image on the image file selection screen (not shown), and upload it. If Exif data at the time of photographing is attached to the image file, this application acquires the date and time of photography from the Exif data and displays the acquired date and time under the thumbnail display of the image. If the Exif data has been deleted, it is preferable to display a flashing question mark (?) in the date/time display schedule column to prompt direct input. In the example of FIG. 28, the first image is a captured file that has been uploaded. To input the next image, touch and select the frame part 2 (the frame line changes from a dotted line to a solid line). In the example of FIG. 28, an image file that will be taken with a smartphone camera is to be imported and input into the second frame. An example of photographing using a camera is not shown. After shooting, the Exif data at the time of shooting with the camera is imported, and the date and time are displayed two frames below.

If you want to input more than four image files, for example, if you want to upload an image when the desired treatment target occurred or an image during treatment for reference in addition to the image of the current state, add images at the bottom of the screen. Press to add an image (the image addition screen is not shown). After entering the image and all information, press the "Register" button at the bottom of the screen. The input attribute information of the treatment desired target (location: right hand, time of occurrence) and the image information of the treatment desired target (image file input by uploading or shooting) are transferred to the present invention from the smartphone of Mr. Sato, the treatment applicant. is sent to the device. The information is received by this apparatus and acquired by the treatment desired object attribute information acquisition section (C) and the treatment desired object image information acquisition section (D), respectively. After acquisition, the treatment seeker attribute information acquired at the time of new member registration, the treatment desired target attribute information and the treatment desired target image information acquired this time will be combined with the treatment seeker identification information acquired at the time of new member registration. This information is held as target information in the treatment desired target information holding unit (E). Since the "Register" button has been pressed, the screen returns to the My Page Search TOP screen in FIG. 26.

It is desirable that the entered treatment desired target attribute information and treatment desired target image information be retained as they are even after the application is terminated, unless they are deleted. This is useful when searching again to see if the number of treated cases has increased after a period of time has elapsed, for example, one month after the initial input. Although it is not stated (or illustrated) in the explanation of this usage example when a single treatment seeker has multiple treatment desired targets, for example, the treatment desired target sent from a smartphone is used by the treatment seeker. It is preferable that when the apparatus of the present invention receives the attribute information and the image information of the treatment-desiring object, the treatment-desired object identification information acquisition unit acquires the treatment-desired object identification information in association with the treatment-seeker identification information. . Multiple treatment targets can be identified.

<Embodiment 1: App: Input desired treatment target information: Search: Predicted information>
After entering the desired treatment information and returning to the My Page Search TOP screen in Figure 26, if you wish to search for similar cases and obtain predictive information, press the "Start Search" button in the center of the example screen in Figure 26. . An example of the search results is shown in FIG. 29. Among the treated target information held in the treated target information holding unit (F) of the device of the present invention, there is image information of the target to be treated, such as the image file input in FIG. 27, and burn scars on the hand. A treated subject information search unit (G) searches for treatment examples of cases similar to the desired treatment subject information including the desired treatment subject attribute information. Based on the retrieved treated target information, predict predictive information based on the retrieved similar treated target information as predictive information of the treatment effect and treatment process when treating the target of the treatment applicant. The information output section (H) outputs the information.

One of the search results output in this way is the example shown in FIG. Four cases were obtained as a result of the search, the first of which is displayed in FIG. The example in FIG. 29 shows the results of laser treatment performed on a burn scar on the left hand of a 34-year-old man at Tanaka Cosmetic Surgery as a treatment not covered by insurance. At the bottom of the screen, three types of images are displayed: before treatment, an image of temporary swelling during treatment, and an image after healing, where the temporary swelling has subsided and the patient has become thinner and smaller than before treatment. ing. The round cross at the bottom right of each image is a button for enlarged display. If necessary, you can press it to enlarge the image and check the image. Treatment period and treatment cost are listed as predictive information. The "Go to 2/4" and "Go to 4/4" buttons at the bottom of the screen are buttons for viewing the four search results in order, with the former going to the second search result and the latter going to the fourth. Go to search results.

The underline and right-pointing triangle in the medical institution and treatment method section is a button to search the Internet using the standard browser on your smartphone to obtain general information about medical institutions, and the same applies to laser treatment. button for searching the Internet. It should be noted that the apparatus of the present invention may be configured to include a medical institution information holding section for a treated object, which is information on a medical institution that has treated a treated object, to hold information on the medical institution. In that case, if you press the right triangle button to the right of the name of Tanaka Cosmetic Surgery in the example of FIG. 29, the treated target treatment medical institution information held in the treated target treatment medical institution information holding section of the device of the present invention will be output. do. Similarly, the treatment method is configured to hold information on the treatment method for the treated target by providing a storage section for information on the treatment method for the treated target, so that when the right triangle button to the right of the name of the laser treatment is pressed, the information is retained. The system can be configured to output treatment method information for treated subjects.

In the example of FIG. 29, there are four search results, but if there are dozens or hundreds of search results, it will take a lot of time to view them all. Therefore, it is preferable to configure so that the prediction information that is the search result can be narrowed down. As described above, the treated subject information search unit (G) is provided with a treated subject information search rule holding means, and the treated subject information search unit (G) stores treatment examples of cases similar to the treatment desired subject information. This can be achieved by configuring to search the treated target information based on the stored treated target information search rules. The rules include a rule to search for treated target information in which the treated target is not visible or almost invisible on the image information after healing, a rule to search for a predetermined treatment period or less, Possible rules include a rule to search for treatments for which the amount is less than a predetermined amount, and a rule to search for information on treated subjects who have been treated at a medical institution within a travel distance of less than a predetermined time from the residence (address) of the person seeking treatment.

Alternatively, as described above, the prediction information output unit (H) is provided with a treated object information search result priority assigning rule holding means and a treated object information search result priority assigning means to prioritize and output predictive information. You may also do this. For example, in the example shown in FIG. 29, there are four items, but the items can be configured to be displayed in descending order of priority. It can also be configured so that it can be displayed as a list in descending order of priority and can be selectively displayed. By assigning priorities and sorting them before outputting them, you can easily obtain the most useful prediction information.

If you want to narrow down the search results (prediction information) based on predetermined conditions because the number of prediction information that is the search result as shown in Figure 29 is in the tens or hundreds, click the ``Search TOP'' button in the bottom center of the screen in Figure 29. ” button to return to the My Page Search TOP screen in Figure 26. Although the search refinement condition input screen is not shown, after setting the conditions by selecting from the saved search conditions (rules) or adding search conditions (rules) by the treatment seeker himself, the search TOP screen in Figure 26 is displayed again. Return to screen. The search refinement conditions have been set. Click "Start Search" to narrow down your search results.

<Embodiment 1 App: Search result history retention>
A treated target information search history holding unit may be provided that stores search results similar to treatment desired target information in association with time information indicating the search time. When a treated target information search rule holding unit is provided, the treated target information search history holding unit stores search results similar to treatment desired target information based on the treated target information search rule based on the time of the search; It may be configured to be held in association with time information indicating the searched time. Or, if a treated subject information search result prioritization means is provided, the treated subject information search result prioritization rule used when outputting the prediction information and/or the assigned priority is applied to the corresponding prediction The information and prediction information may be associated with the output time and held as a search result.

Furthermore, when a single treatment applicant has multiple desired treatment targets, the treated target information search history storage unit stores search results similar to the treatment desired target information, the treatment desired target identification information, and the search time. It may also be configured to be held in association with time information indicating. Furthermore, if a treated target information search rule is held, the treated target information search history holding unit stores search results similar to the treatment desired target information based on the treated target information search rule based on the search time and the treatment target information search rule. The desired object identification information may be stored in association with time information indicating the search time. Or, if a treated subject information search result prioritization means is provided, the treated subject information search result prioritization rule used when outputting the prediction information and/or the assigned priority is applied to the corresponding prediction The information, the time when the prediction information was output, and the identification information of the desired treatment target may be associated with each other and may be stored as a search result. The above is an explanation of an example of outputting prediction information using the apparatus of the present invention.

<Embodiment 1 Process flow>
FIG. 2 is a flowchart of the operating method of the treatment effect and treatment process prediction device according to the first embodiment. As shown in this figure, in the treatment effect and treatment process prediction device of Embodiment 1, the treatment applicant identification information acquisition step (a) (S0201), the treatment applicant attribute information acquisition step (b) (S0202), and the treatment Desired target attribute information acquisition step (c) (S0203), treatment desired target image information acquisition step (d) (S0204), treatment desired target information retention step (e) (S0205), and treated target information retention step ( f) (S0206), a treated target information retrieval step (g) (S0207), and a predicted information output step (h) (S0208).

Here, the operating method of the therapeutic effect and treatment process prediction device, which is a computer, is as follows.
The treatment seeker identification information acquisition step (a) (S0201) is performed to obtain the target for treatment on the body that can be observed from the outside (this includes, but is not limited to, birthmarks, stains, burn scars, scars, cleft lips, etc.; the same applies hereinafter). process to obtain treatment seeker identification information, which is information that identifies a treatment seeker who desires treatment,
The treatment seeker attribute information acquisition step (b) (S0202) performs processing to acquire treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker who desires treatment,
The treatment desired target attribute information acquisition step (c) (S0203) indicates attributes (including, but not limited to, any one or more of position, size, shape, color, and progress; the same applies hereinafter) regarding the treatment desired target. Performs processing to obtain treatment desired target attribute information, which is information,
The treatment desired object image information acquisition step (d) (S0204) performs a process of acquiring treatment desired object image information that is information on the image of the treatment desired object,
The treatment-desiring target information holding step (e) (S0205) stores treatment-desiring target information, which is information in which the treatment-seeking person attribute information, the treatment-desiring target attribute information, and the treatment-desiring target image information are associated with the treatment-seeking person identification information. Perform processing to retain,
The treated target information retention step (f) (S0206) includes information regarding the treatment of other treated targets (image, position, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, post-healing). (including, but not limited to, one or more of the images), which is information that enables the acquisition of pre-treatment information and subsequent treatment effects and/or information on the treatment process. conduct,
The treated target information search step (g) (S0207) performs a process of searching for treatment examples of cases similar to the treatment desired target information from the retained treated target information,
The predictive information output step (h) (S0208) is based on the retrieved treated target information, and outputs the retrieved similar information as predictive information of the treatment effect and treatment process when treating the target of the treatment applicant. A process is performed to output prediction information based on the treated target information.
This is an operation method in which a treatment effect and treatment process prediction device, which is a computer, executes such a series of processes.

<Embodiment 1 Hardware Description>
FIG. 3 is a diagram for explaining hardware configured by the main board and its peripheral devices of the therapeutic effect and treatment process prediction device, which is a computer according to the first embodiment. "CPU", "chip set" consisting of north bridge and south bridge, "non-volatile memory", "main memory", "I/O controller", "USB, IEEE1394, LAN terminal, etc.", "BIOS", " It consists of "PCI slot", "real time clock", etc.

Various programs and data (information) stored in non-volatile memory are expanded to the main memory when this system is started, and upon receiving execution instructions, the CPU sequentially executes programs using the data. has been done.

That is, in addition to the OS (operating system) and device drivers, the non-volatile memory contains a treatment applicant identification information acquisition program (a), a treatment applicant attribute information acquisition program (b), and a treatment applicant attribute information acquisition program. (c), a treatment desired target image information acquisition program (d), a treatment desired target information retention program (e), a treated target information retention program (f), a treated target information search program (g), A predictive information output program (h), which includes, as data, treatment applicant identification information, treatment applicant attribute information, treatment desired object attribute information, treatment desired object image information, treatment desired object information, treated object information, Prediction information is held. When this system is activated on a computer, these are developed into the main memory, and upon receiving an activation command, the CPU sequentially performs calculations using the programs and data.

According to this embodiment, the treatment effect and treatment process prediction device of the present invention can output prediction information. Patients seeking treatment can obtain predictions of treatment effects and costs for their desired treatment before visiting a medical institution.

<Embodiment 2 Overview> Mainly claims 2, 9, and 16
The treatment effect and treatment process prediction device of Embodiment 2 is based on Embodiment 1, and the treated target information held in the treated target information storage unit (F) is at least one of before treatment, during treatment, and after treatment. It is configured to include the above image information.

<Embodiment 2 Functional configuration>
FIG. 4 shows a functional block diagram of a treatment effect and treatment process prediction device according to the second embodiment. The configuration of the treatment effect and treatment process prediction device (0400) of Embodiment 2 is the same as that of Embodiment 1, but the function of the treated subject information storage unit (F) (0406) is slightly different from that of Embodiment 1. different.

<Embodiment 2 Description of configuration>
<Embodiment 2 Treated subject information holding unit (F) (0406)>
The "treated subject information holding unit (F)" (0406) is configured such that the treated subject information held includes at least one or more of image information before treatment, during treatment, and after treatment.

The treated target information to be retained includes at least image information before treatment, during treatment, and after treatment (after treatment), but preferably includes image information before treatment and after treatment. Most preferably, it includes treated image information. This is because it is possible to know the improvement effect of treatment from the image information before and after treatment. From image information during treatment, it is possible to determine whether the condition will continue to improve during treatment, or whether symptoms may temporarily worsen (e.g., the treated area may become swollen) during treatment. .

<Embodiment 2 Process flow>
FIG. 5 is a flowchart of operation processing of the treatment effect and treatment process prediction device, which is a computer of the second embodiment based on the first embodiment. As shown in this figure, in the treatment effect and treatment process prediction device of Embodiment 2, the treatment applicant identification information acquisition step (a) (S0501), the treatment applicant attribute information acquisition step (b) (S0502), and the treatment Desired target attribute information acquisition step (c) (S0503), treatment desired target image information acquisition step (d) (S0504), treatment desired target information retention step (e) (S0505), and treated target information retention step ( f) (S0506), a treated target information retrieval step (g) (S0507), and a predicted information output step (h) (S0508).

Here, the operating method of the therapeutic effect and treatment process prediction device, which is a computer, is as follows.
The treatment seeker identification information acquisition step (a) (S0501) is performed to obtain the target for treatment on the body that can be observed from the outside (this includes, but is not limited to, birthmarks, spots, burn scars, scars, cleft lips, etc.; the same applies hereinafter). process to obtain treatment seeker identification information, which is information that identifies a treatment seeker who desires treatment,
The treatment seeker attribute information acquisition step (b) (S0502) performs processing to acquire treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker who desires treatment,
The treatment desired target attribute information acquisition step (c) (S0503) indicates attributes (including, but not limited to, any one or more of position, size, shape, color, and progress; the same applies hereinafter) regarding the treatment desired target. Performs processing to obtain treatment desired target attribute information, which is information,
The treatment desired object image information acquisition step (d) (S0504) performs a process of acquiring treatment desired object image information that is information on the image of the treatment desired object,
The treatment-desired subject information retention step (e) (S0505) stores treatment-desired subject information, which is information in which the treatment-desired person attribute information, the treatment-desired subject attribute information, and the treatment-desired subject image information are associated with the treatment-desired person identification information. Perform processing to retain,
The treated target information retention step (f) (S0506) includes information regarding the treatment of other treated targets (image, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, post-healing). (including, but not limited to, one or more images), which is information from which pre-treatment information and subsequent treatment effects and/or treatment process information can be obtained, and at least Performs processing to maintain treated target information including image information of one or more of before treatment, during treatment, and after treatment,
The treated target information search step (g) (S0507) performs a process of searching for treatment examples of cases similar to the treatment desired target information from the retained treated target information,
The predicted information output step (h) (S0508) is based on the retrieved treated target information, and outputs the retrieved similar information as predictive information of the treatment effect and treatment process when treating the target of the treatment applicant. A process is performed to output prediction information based on the treated target information.
This is an operation method in which a treatment effect and treatment process prediction device, which is a computer, executes such a series of processes.

<Embodiment 2 Hardware Description>
FIG. 6 is a diagram for explaining hardware configured by the main board and its peripheral devices of the treatment effect and treatment process prediction device, which is a computer of the second embodiment based on the first embodiment. "CPU", "chip set" consisting of north bridge and south bridge, "non-volatile memory", "main memory", "I/O controller", "USB, IEEE1394, LAN terminal, etc.", "BIOS", " It consists of "PCI slot", "real time clock", etc.

Various programs and data (information) stored in non-volatile memory are expanded to the main memory when this system is started, and upon receiving execution instructions, the CPU sequentially executes programs using the data. has been done.

That is, in addition to the OS (operating system) and device drivers, the non-volatile memory contains a treatment applicant identification information acquisition program (a), a treatment applicant attribute information acquisition program (b), and a treatment applicant attribute information acquisition program. (c), a treatment desired target image information acquisition program (d), a treatment desired target information retention program (e), a treated target information retention program (f), a treated target information search program (g), It has a predictive information output program (h) and an image search subprogram (j), and includes data such as treatment applicant identification information, treatment applicant attribute information, treatment desired target attribute information, treatment desired target image information, and treatment request. Target information, treated target information, prediction information, and image information are held. When this system is activated on a computer, these are developed into the main memory, and upon receiving an activation command, the CPU sequentially performs calculations using the programs and data.

According to this embodiment, at least one or more image information of before treatment, during treatment, and after treatment can be held as treated object information.

<Embodiment 3 Overview> Mainly claims 3, 10, 17
The treatment effect and treatment process prediction device of Embodiment 3 is based on Embodiment 2, and is configured to have an image search means (J) in the treated object information search section (G).

<Embodiment 3 Functional configuration>
FIG. 7 shows a functional block diagram of a treatment effect and treatment process prediction device according to the third embodiment. The treatment effect and treatment process prediction device (0700) of the third embodiment has, in addition to the configuration of the second embodiment, an image search means (J) (0709) in the treated object information search section (G) (0707).

<Embodiment 3 Description of configuration>
<Embodiment 3 Image search means (J) (0709)>
"Image search means (J)" (0709) is a treated target information search unit that searches for treated target information using the image acquired by the treatment desired target image information acquisition unit (D) (0704). (G) (0707).

Machine learning artificial intelligence (AI) may be used to search for images similar to the desired treatment target. The image retrieval means (J) may be provided in a casing separate from the casing of the present device and connected together via a line. The image search means (J) is acquired by the treatment desired object image information acquisition section (D) of this device via a line such as the Internet, and is associated with the treatment desired object identification information in the treatment desired object information holding section (E). Image information similar to the image information of the desired treatment target held in the treated target information held in the treated target information holding unit (F) is searched for.

In the case of images of arms and legs, the angles at which they are taken may vary, so it is desirable to train artificial intelligence (AI) to perform searches even when the angles of the images are different.

<Embodiment 3 Process flow>
FIG. 8 is a flowchart of operation processing of the treatment effect and treatment process prediction device, which is a computer of the third embodiment based on the second embodiment. As shown in this figure, in the treatment effect and treatment process prediction device of Embodiment 3, the treatment applicant identification information acquisition step (a) (S0801), the treatment applicant attribute information acquisition step (b) (S0802), and the treatment Desired target attribute information acquisition step (c) (S0803), treatment desired target image information acquisition step (d) (S0804), treatment desired target information retention step (e) (S0805), and treated target information retention step ( f) (S0806), the treated object information retrieval step (g) (S0807), the image retrieval substep (j) (S0808) in the treated object information retrieval step (g) (S0807), and the predicted information output Step (h) (S0809).

Here, the operating method of the therapeutic effect and treatment process prediction device, which is a computer, is as follows.
The treatment seeker identification information acquisition step (a) (S0801) is performed to obtain the target for treatment on the body that can be observed from the outside (this includes, but is not limited to, birthmarks, spots, burn scars, scars, cleft lips, etc.; the same applies hereinafter). process to obtain treatment seeker identification information, which is information that identifies a treatment seeker who desires treatment,
The treatment seeker attribute information acquisition step (b) (S0802) performs processing to acquire treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker who desires treatment,
The treatment desired target attribute information acquisition step (c) (S0803) indicates attributes (including, but not limited to, any one or more of position, size, shape, color, and progress; the same applies hereinafter) regarding the treatment desired target. Performs processing to obtain treatment desired target attribute information, which is information,
The treatment desired object image information acquisition step (d) (S0804) performs a process of acquiring treatment desired object image information that is information on the image of the treatment desired object,
The treatment-desiring target information holding step (e) (S0805) stores treatment-desiring target information, which is information in which treatment-seeking person attribute information, treatment-desiring target attribute information, and treatment-desiring target image information are associated with treatment-seeking person identification information. Perform processing to retain,
The treated target information retention step (f) (S0806) includes information regarding the treatment of other treated targets (image, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, post-healing). (including, but not limited to, one or more of the images), which is information that enables the acquisition of pre-treatment information and subsequent treatment effects and/or information on the treatment process. conduct,
The treated target information search step (g) (S0807) performs a process of searching for treatment examples of cases similar to the treatment desired target information from the retained treated target information,
The image search sub-step (j) (S0808) in the treated target information search step (g) (S0807) uses the image acquired in the treatment desired target image information acquisition step (d) (S0804) to search for treated target information. The predictive information output step (h) (S0809) performs processing to search for target information, and predicts the treatment effect and treatment process when treating the target of the treatment applicant based on the retrieved treated target information. As information, a process is performed to output prediction information based on the retrieved similar treated target information.
This is an operation method in which a treatment effect and treatment process prediction device, which is a computer, executes such a series of processes.

<Embodiment 3 Hardware Description>
FIG. 9 is a diagram for explaining hardware constituted by the main board and its peripheral devices of the treatment effect and treatment process prediction device, which is a computer of the third embodiment based on the second embodiment. "CPU", "chip set" consisting of north bridge and south bridge, "non-volatile memory", "main memory", "I/O controller", "USB, IEEE1394, LAN terminal, etc.", "BIOS", " It consists of "PCI slot", "real time clock", etc.

Various programs and data (information) stored in non-volatile memory are expanded to the main memory when this system is started, and upon receiving execution instructions, the CPU sequentially executes programs using the data. has been done.

That is, in addition to the OS (operating system) and device drivers, the non-volatile memory contains a treatment applicant identification information acquisition program (a), a treatment applicant attribute information acquisition program (b), and a treatment applicant attribute information acquisition program. (c), a treatment desired target image information acquisition program (d), a treatment desired target information retention program (e), a treated target information retention program (f), a treated target information search program (g), It has a predictive information output program (h) and an image search subprogram (j), and includes data such as treatment applicant identification information, treatment applicant attribute information, treatment desired target attribute information, treatment desired target image information, and treatment request. Target information, treated target information, and prediction information are held. When this system is activated on a computer, these are developed into the main memory, and upon receiving an activation command, the CPU sequentially performs calculations using the programs and data.

According to this embodiment, it is possible to search for treated target information using treatment desired target image information.

<Embodiment 4 Overview> Mainly claims 4, 11, 18
The treatment effect and treatment process prediction device of the fourth embodiment is based on the third embodiment, and is configured such that the prediction information output section (H) further includes a treated image information output means (K).

<Embodiment 4 Functional configuration>
FIG. 10 shows a functional block diagram of a treatment effect and treatment process prediction device according to a fourth embodiment based on the third embodiment. The treatment effect and treatment process prediction device (0900) of Embodiment 4 has, in addition to the configuration of Embodiment 3, a treated image information output means (K) (1010) in the prediction information output unit (H) (1008). .

<Embodiment 4 Description of configuration>
<Embodiment 4 Treated image information output means (K) (1010)>
The “treated image information output unit (K)” (1010) is configured to output image information indicating the treatment process and/or the treated state as predicted information in the predicted information output unit (H) (1008). configured.

If the treated object information searched by the treated object information search unit (G) does not include image information indicating the treatment process and/or the treated state, the treated image information output means (K) outputs the treatment process. Alternatively, it may be configured to output additional search conditions to the treated target information search unit (G) so that the search is performed by adding image information indicating a treated state to the search conditions.

<Embodiment 4 Process flow>
FIG. 11 is a flowchart of operation processing of the treatment effect and treatment process prediction device, which is a computer of the fourth embodiment based on the third embodiment. As shown in this figure, in the treatment effect and treatment process prediction device of Embodiment 4, the treatment applicant identification information acquisition step (a) (S1101), the treatment applicant attribute information acquisition step (b) (S1102), and the treatment Desired target attribute information acquisition step (c) (S1103), treatment desired target image information acquisition step (d) (S1104), treatment desired target information retention step (e) (S1105), and treated target information retention step ( f) (S1106), the treated object information search step (g) (S1107), the image search substep (j) (S1108) in the treated object information search step (g) (S1107), and the predicted information output Step (h) (S1109); and a treated image information output substep (k) (S1110) within the prediction information output step (h) (S1109).

Here, the operating method of the therapeutic effect and treatment process prediction device, which is a computer, is as follows.
The treatment seeker identification information acquisition step (a) (S1101) is performed to obtain the target for treatment on the body that can be observed from the outside (this includes, but is not limited to, birthmarks, stains, burn scars, scars, cleft lips, etc.; the same applies hereinafter). process to obtain treatment seeker identification information, which is information that identifies a treatment seeker who desires treatment,
The treatment seeker attribute information acquisition step (b) (S1102) performs a process of acquiring treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker who desires treatment,
The treatment desired target attribute information acquisition step (c) (S1103) indicates attributes (including, but not limited to, any one or more of position, size, shape, color, and progress; the same applies hereinafter) regarding the treatment desired target. Performs processing to obtain treatment desired target attribute information, which is information,
The treatment desired object image information acquisition step (d) (S1104) performs a process of acquiring treatment desired object image information that is information on the image of the treatment desired object,
The treatment-desired subject information holding step (e) (S1105) stores treatment-desired subject information, which is information in which the treatment-desired person attribute information, the treatment-desired subject attribute information, and the treatment-desired subject image information are associated with the treatment-desired person identification information. Perform processing to retain,
The treated target information retention step (f) (S1106) includes information regarding the treatment of other treated targets (image, position, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, post-healing). (including, but not limited to, one or more of the images), which is information that enables the acquisition of pre-treatment information and subsequent treatment effects and/or information on the treatment process. conduct,
The treated target information search step (g) (S1107) performs a process of searching for treatment examples of cases similar to the treatment desired target information from the retained treated target information,
The image search substep (j) (S1108) in the treated target information search step (g) (S1107) uses the image acquired in the treatment desired target image information acquisition step (d) (S1104) to search for treated target information. A predictive information output step (h) (S1109) performs processing to search for target information, and predicts the treatment effect and treatment process when treating the target desired by the person seeking treatment, based on the retrieved treated target information. As information, perform processing to output predictive information based on the retrieved similar treated target information,
The treated image information output substep (k) (S1110) in the predicted information output step (h) (S1109) performs a process of outputting image information indicating the treatment process and/or the treated state as predicted information.
This is an operation method in which a treatment effect and treatment process prediction device, which is a computer, executes such a series of processes.

<Embodiment 4 Hardware Description>
FIG. 12 is a diagram for explaining hardware constituted by the main board and its peripheral devices of the treatment effect and treatment process prediction device, which is a computer of the fourth embodiment based on the third embodiment. "CPU", "chip set" consisting of north bridge and south bridge, "non-volatile memory", "main memory", "I/O controller", "USB, IEEE1394, LAN terminal, etc.", "BIOS", " It consists of "PCI slot", "real time clock", etc.

Various programs and data (information) stored in non-volatile memory are expanded to the main memory when this system is started, and upon receiving execution instructions, the CPU sequentially executes programs using the data. has been done.

That is, in addition to the OS (operating system) and device drivers, the non-volatile memory contains a treatment applicant identification information acquisition program (a), a treatment applicant attribute information acquisition program (b), and a treatment applicant attribute information acquisition program. (c), a treatment desired target image information acquisition program (d), a treatment desired target information retention program (e), a treated target information retention program (f), a treated target information search program (g), It has a prediction information output program (h), an image search subprogram (j), and a treated image information output subprogram (k), and includes data such as treatment applicant identification information, treatment applicant attribute information, and treatment. Desired object attribute information, treatment desired object image information, treatment desired object information, treated object information, prediction information, and image information are held. When this system is activated on a computer, these are developed into the main memory, and upon receiving an activation command, the CPU sequentially performs calculations using the programs and data.

According to this embodiment, the therapeutic effect and treatment process prediction device can output image information indicating the treatment process and/or the treated state as prediction information.

<Embodiment 5 Overview> Mainly claims 5, 12, 19
The therapeutic effect and treatment process prediction device of Embodiment 5 is based on Embodiment 3, and is configured to include simulated image information output means (L) in the prediction information output section (H).

<Embodiment 5 Functional configuration>
FIG. 13 shows a functional block diagram of a treatment effect and treatment process prediction device according to a fifth embodiment based on the third embodiment. The treatment effect and treatment process prediction device (1300) of Embodiment 5 has, in addition to the configuration of Embodiment 3, a simulated image information output means (L) (1311) in the prediction information output unit (H) (1308). .

<Embodiment 5 Description of configuration>
<Embodiment 5 Simulated image information output means (L) (1311)>
The "simulated image information output means (L)" (1311) outputs simulated image information, which is image information that simulates the image information under treatment or after treatment, included in the treated target information. , is configured in the prediction information output unit (H) (1308).

For example, if the treated target is a face and output as predictive information as is, as prediction information of the treatment effect or as image information of the treatment being performed or completed, the individual therapist who received the treatment for the treated target can be identified. Facial image information, which is information about facial images that can be viewed, will be disclosed. By displaying a simulated image of the effects and treatment on a face created by artificial intelligence or a schematic diagram simulating a human face so that individuals cannot be identified, it is possible to identify the original therapist. personally identifiable information can be prevented from being disclosed. You can have an artificial intelligence that uses machine learning to automatically generate a human face create a face every time, or you can use an artificial intelligence that simulates the state during and after treatment on a simplified facial diagram and generates predictive information. (AI) may be configured to draw the image.

<Embodiment 5 Process flow>
FIG. 14 is a flowchart of operation processing of the therapeutic effect and treatment process prediction device, which is a computer of the fifth embodiment based on the third embodiment. As shown in this figure, in the treatment effect and treatment process prediction device of Embodiment 5, the treatment applicant identification information acquisition step (a) (S1401), the treatment applicant attribute information acquisition step (b) (S1402), and the treatment Desired target attribute information acquisition step (c) (S1403), treatment desired target image information acquisition step (d) (S1404), treatment desired target information retention step (e) (S1405), and treated target information retention step ( f) (S1406), the treated object information search step (g) (S1407), the image search substep (j) (S1408) in the treated object information search step (g) (S1407), and the predicted information output The step (h) (S1409) and the simulated image information output substep (l) (S1410) within the prediction information output step (h) (S1409) are included.

Here, the operating method of the therapeutic effect and treatment process prediction device, which is a computer, is as follows.
The treatment seeker identification information acquisition step (a) (S1401) is performed to obtain the target for treatment on the body that can be observed from the outside (this includes, but is not limited to, birthmarks, stains, burn scars, scars, cleft lips, etc.; the same applies hereinafter). process to obtain treatment seeker identification information, which is information that identifies a treatment seeker who desires treatment,
The treatment seeker attribute information acquisition step (b) (S1402) performs processing to acquire treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker who desires treatment,
The treatment desired target attribute information acquisition step (c) (S1403) indicates attributes (including, but not limited to, any one or more of position, size, shape, color, and progress; the same applies hereinafter) regarding the treatment desired target. Performs processing to obtain treatment desired target attribute information, which is information,
The treatment desired object image information acquisition step (d) (S1404) performs a process of acquiring treatment desired object image information that is information on the image of the treatment desired object,
The treatment-desiring subject information holding step (e) (S1405) stores the treatment-desiring subject information, which is information in which the treatment-seeking person attribute information, the treatment-desiring subject attribute information, and the treatment-desiring subject image information are associated with the treatment-seeking person identification information. Perform processing to retain,
The treated target information retention step (f) (S1406) includes information regarding the treatment of other treated targets (image, position, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, post-healing). (including, but not limited to, one or more of the images), which is information that enables the acquisition of pre-treatment information and subsequent treatment effects and/or information on the treatment process. conduct,
The treated target information search step (g) (S1407) performs a process of searching for treatment examples of cases similar to the treatment desired target information from the retained treated target information,
The image search substep (j) (S1408) in the treated target information search step (g) (S1407) uses the image acquired in the treatment desired target image information acquisition step (d) (S1404) to search for treated target information. The predictive information output step (h) (S1409) performs processing to search for target information, and predicts the treatment effect and treatment process when treating the target of the treatment applicant based on the retrieved treated target information. As information, perform processing to output predictive information based on the retrieved similar treated target information,
The simulated image information output substep (l) (S1410) in the predicted information output step (h) (S1409) simulates the image information that is being treated or has been treated and is included in the treated target information as predicted information. Processing is performed to output simulated image information, which is information about the image to be displayed.
This is an operation method in which a treatment effect and treatment process prediction device, which is a computer, executes such a series of processes.

<Embodiment 5 Hardware Description>
FIG. 15 is a diagram for explaining hardware configured by the main board and its peripheral devices of the treatment effect and treatment process prediction device, which is a computer of the fifth embodiment based on the third embodiment. "CPU", "chip set" consisting of north bridge and south bridge, "non-volatile memory", "main memory", "I/O controller", "USB, IEEE1394, LAN terminal, etc.", "BIOS", " It consists of "PCI slot", "real time clock", etc.

Various programs and data (information) stored in non-volatile memory are expanded to the main memory when this system is started, and upon receiving execution instructions, the CPU sequentially executes programs using the data. has been done.

That is, in addition to the OS (operating system) and device drivers, the non-volatile memory contains a treatment applicant identification information acquisition program (a), a treatment applicant attribute information acquisition program (b), and a treatment applicant attribute information acquisition program. (c), a treatment desired target image information acquisition program (d), a treatment desired target information retention program (e), a treated target information retention program (f), a treated target information search program (g), It has a predictive information output program (h), an image search subprogram (j), and a simulated image information output subprogram (l), and includes data such as treatment applicant identification information, treatment applicant attribute information, and treatment wishes. Target attribute information, treatment desired target image information, treatment desired target information, treated target information, prediction information, and simulated image information are held. When this system is activated on a computer, these are developed into the main memory, and upon receiving an activation command, the CPU sequentially performs calculations using the programs and data.

According to the present embodiment, it is possible to output simulated image information as prediction information without outputting the actual image information during treatment or after treatment itself. By outputting the simulated image information, it is possible to prevent the personal information of the person who has undergone treatment (image information of the person undergoing treatment or treatment completed) from being provided to others.

<Embodiment 6 Overview> Mainly claims 6, 13, and 20
The treatment effect of the sixth embodiment based on the first embodiment and the treated target information held in the treated target information holding unit of the treatment process prediction device are at least treated as the treated target information when the person in charge of the treatment implements the treatment. It is configured to include treatment support information, which is information about treatment methods useful for patients.

<Embodiment 6 Functional configuration>
FIG. 16 shows a functional block diagram of a treatment effect and treatment process prediction device according to a sixth embodiment based on the first embodiment. The treatment effect and treatment process prediction device (1600) of the seventh embodiment has the same configuration as that of the first embodiment.

<Embodiment 6 Description of configuration>
<Embodiment 6 Treated subject information holding unit (F) (1606)>
"Treatment target information holding unit (F)" (1606) is a treatment system in which the treated target information held is at least information related to a treatment method that is useful for a person in charge of treatment to carry out the treatment as treated target information. Configured to include supporting information.

"Persons responsible for treatment" refer to those involved in medical care, such as doctors, laboratory technicians, osteopaths, dental hygienists, dental technicians, and nurses. When a person in charge of treatment uses this device, it is preferable to configure the apparatus to include a treatment person identification information holding unit that holds treatment person identification information, which is information for identifying the person in charge of treatment. . It is more preferable that the treatment person identification information holding unit holds authority information, which is information indicating the range of authority to use the device, in association with the treatment person identification information. An example of authority information is a form that limits the scope of disclosure of personal information and treatment methods included in the treated subject information held in the treated subject information holding unit (F), and the doctor in charge of treatment is required to disclose all information. However, it can be used to classify personal information such as not being disclosed to general treatment seekers.

"Treatment support information" includes, for example, surgical methods and methods of using medical devices that are useful (reference) for those in charge of treatment when implementing treatment, as well as types and prescription amounts of medical drugs. It is preferable that not only the direct treatment of the desired patient but also the care incidental to the treatment, such as how to take care of the patient after surgery and precautions to be taken during treatment, are disclosed. This information can be provided as useful information when a person seeking treatment visits a medical institution and the medical institution does not have treatment experience or is looking for an alternative or more effective treatment method to the current treatment method. It should be noted that even if this information were obtained by those seeking treatment, who are thought to be mainly non-medical workers, they would not be able to do so on their own. However, if the treated target information includes information on the medical institution that performed the treatment, the person seeking treatment can receive treatment at a medical institution that can perform the desired treatment.

Further, it is preferable to configure the treatment support information so that a medical worker or the like who is in charge of treatment can additionally register the treatment support information. Information regarding the treatment of the treated target (image, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, post-healing image, treatment support information, but limited to one or more of the following) ) may be configured to include a treated subject information acquisition unit that acquires treated subject information. Furthermore, if a treatment person identification information holding unit is provided that holds treatment person identification information, which is information that identifies a person in charge of treatment using this device, the treated subject information acquisition unit When acquiring the completed target information, it may be configured to be acquired in association with the treatment person identification information. In this case, it is preferable that the treatment person identification information is associated with authority information that allows additional registration of treated target information and held in the treatment person identification information storage unit.

<Embodiment 6 Process flow>
FIG. 17 is a flowchart of a method of operating the treatment effect and treatment process prediction device of Embodiment 6 based on Embodiment 1. As shown in this figure, in the treatment effect and treatment process prediction device of Embodiment 6, the treatment applicant identification information acquisition step (a) (S1701), the treatment applicant attribute information acquisition step (b) (S1702), and the treatment Desired target attribute information acquisition step (c) (S1703), treatment desired target image information acquisition step (d) (S1704), treatment desired target information retention step (e) (S1705), and treated target information retention step ( f) (S1706), a treated target information search step (g) (S1707), and a prediction information output step (h) (S1708).

Here, the operating method of the therapeutic effect and treatment process prediction device, which is a computer, is as follows.
The treatment seeker identification information acquisition step (a) (S1701) is performed to obtain the target for treatment on the body that can be observed from the outside (this includes, but is not limited to, birthmarks, stains, burn scars, scars, cleft lips, etc.; the same applies hereinafter). process to obtain treatment seeker identification information, which is information that identifies a treatment seeker who desires treatment,
The treatment seeker attribute information acquisition step (b) (S1702) performs processing to acquire treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker who desires treatment,
The treatment desired target attribute information acquisition step (c) (S1703) indicates attributes (including, but not limited to, any one or more of position, size, shape, color, and progress; the same applies hereinafter) regarding the treatment desired target. Performs processing to obtain treatment desired target attribute information, which is information,
The treatment desired object image information acquisition step (d) (S1704) performs a process of acquiring treatment desired object image information that is information on the image of the treatment desired object,
The treatment-desiring subject information holding step (e) (S1705) stores the treatment-desiring subject information, which is information in which the treatment-seeking person attribute information, the treatment-desiring subject attribute information, and the treatment-desiring subject image information are associated with the treatment-seeking person identification information. Perform processing to retain,
The treated target information retention step (f) (S1706) includes information regarding the treatment of other treated targets (image, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, post-healing). (including, but not limited to, one or more images), from which information before treatment and subsequent treatment effects and/or information on the treatment process can be obtained, and at least information on the treatment target as information on the treated subject. Processes that maintain treated target information including treatment support information, which is information about treatment methods that are useful for those responsible for carrying out the treatment,
The treated target information search step (g) (S1707) performs a process of searching for treatment examples of cases similar to the treatment desired target information from the retained treated target information,
The predicted information output step (h) (S1708) is based on the retrieved treated target information, and uses the retrieved similar information as predictive information of the treatment effect and treatment process when treating the target of the treatment applicant. A process is performed to output prediction information based on the treated target information.
This is an operation method in which a treatment effect and treatment process prediction device, which is a computer, executes such a series of processes.

<Embodiment 6 Hardware Description>
FIG. 18 is a diagram for explaining hardware constituted by the main board and its peripheral devices of the treatment effect and treatment process prediction device, which is a computer of the sixth embodiment based on the first embodiment. "CPU", "chip set" consisting of north bridge and south bridge, "non-volatile memory", "main memory", "I/O controller", "USB, IEEE1394, LAN terminal, etc.", "BIOS", " It consists of "PCI slot", "real time clock", etc.

Various programs and data (information) stored in non-volatile memory are expanded to the main memory when this system is started, and upon receiving execution instructions, the CPU sequentially executes programs using the data. has been done.

That is, in addition to the OS (operating system) and device drivers, the non-volatile memory contains a treatment applicant identification information acquisition program (a), a treatment applicant attribute information acquisition program (b), and a treatment applicant attribute information acquisition program. (c), a treatment desired target image information acquisition program (d), a treatment desired target information retention program (e), a treated target information retention program (f), a treated target information search program (g), A predictive information output program (h), which includes, as data, treatment applicant identification information, treatment applicant attribute information, treatment desired object attribute information, treatment desired object image information, treatment desired object information, treated object information, Prediction information and further treatment support information are held. When this system is activated on a computer, these are developed into the main memory, and upon receiving an activation command, the CPU sequentially performs calculations using the programs and data.

According to this embodiment, treatment support information, which is information regarding a treatment method useful for a person in charge of treatment to carry out the treatment, can be held as treated target information.

<Embodiment 7 Overview> Mainly claim 7
The treatment effect and treatment process prediction device of the eighth embodiment is based on the sixth embodiment and is configured to include a treatment support information output unit (M).

<Embodiment 7 Functional configuration>
FIG. 19 shows a functional block diagram of a treatment effect and treatment process prediction device according to a seventh embodiment based on the sixth embodiment. The treatment effect and treatment process prediction device (1900) of Embodiment 8 has, in addition to the configuration of Embodiment 6, a treatment support information output unit (M) (1912).

<Embodiment 7 Description of configuration>
<Embodiment 7 Treatment support information output unit (M) (1912)>
The “treatment support information output unit (M)” (1912) is configured to output treatment support information based on the retrieved treated target information.

Treatment support information is considered to be information that is not directly useful even if obtained by non-medical personnel. Therefore, the configuration is such that it is possible to select whether or not to output treatment support information depending on whether the person who receives the output of the search result of treated target information as predictive information is a medical worker or a non-medical worker. You can also do it. Furthermore, even if you are a medical professional, it may not be helpful if treatment support information is provided in a field that is not your specialty, or detailed treatment methods are presented by someone who is not a doctor. It is also possible to select whether or not to output treatment support information depending on the type of medical worker.

To select the output of treatment support information as described above,
The treatment person identification information holding unit stores attribute information of the treatment person in association with the treatment person identification information, such as doctors, nurses, pharmacists, chiropractors, etc., and their specialty (orthopaedics, dermatology, surgery). , dentistry, oral surgery, ophthalmology, proctology, etc.).
This can be achieved by the treatment support information output unit (M) having a treatment support information output determination means for determining whether to output treatment support information based on the searched treated target information based on the treatment person attribute information. .

<Embodiment 7 Process flow>
FIG. 20 is a flowchart of operation processing of the treatment effect and treatment process prediction device, which is a computer of the seventh embodiment based on the sixth embodiment. As shown in this figure, in the treatment effect and treatment process prediction device of Embodiment 7, the treatment applicant identification information acquisition step (a) (S2001), the treatment applicant attribute information acquisition step (b) (S2002), and the treatment Desired target attribute information acquisition step (c) (S2003), treatment desired target image information acquisition step (d) (S2004), treatment desired target information retention step (e) (S2005), and treated target information retention step ( f) (S2006), a treated target information search step (g) (S2007), a predicted information output step (h) (S2008), and a treatment support information output step (m) (S2009).

Here, the operating method of the therapeutic effect and treatment process prediction device, which is a computer, is as follows.
The treatment seeker identification information acquisition step (a) (S2001) is performed to obtain the target for treatment on the body that can be observed from the outside (this includes, but is not limited to, birthmarks, stains, burn scars, scars, cleft lips, etc.; the same applies hereinafter). process to obtain treatment seeker identification information, which is information that identifies a treatment seeker who desires treatment,
The treatment seeker attribute information acquisition step (b) (S2002) is a process of acquiring treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker who desires treatment,
The treatment desired target attribute information acquisition step (c) (S2003) indicates attributes (including, but not limited to, any one or more of position, size, shape, color, and progress; the same applies hereinafter) regarding the treatment desired target. Performs processing to obtain treatment desired target attribute information, which is information,
The treatment desired object image information acquisition step (d) (S2004) performs a process of acquiring treatment desired object image information that is information on the image of the treatment desired object,
The treatment-desiring target information holding step (e) (S2005) stores treatment-desiring target information, which is information in which the treatment-seeking person attribute information, the treatment-desiring target attribute information, and the treatment-desiring target image information are associated with the treatment-seeking person identification information. Perform processing to retain,
The treated target information retention step (f) (S2006) includes information regarding the treatment of other treated targets (image, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, post-healing). (including, but not limited to, one or more images), from which information before treatment and subsequent treatment effects and/or information on the treatment process can be obtained, and at least information on the treatment target as information on the treated subject. Processes that maintain treated target information including treatment support information, which is information about treatment methods that are useful for those responsible for carrying out the treatment,
The treated target information search step (g) (S2007) performs a process of searching for treatment examples of cases similar to the treatment desired target information from the retained treated target information,
In the prediction information output step (h) (S2008), based on the retrieved treated target information, the retrieved similar information is used as predictive information of the treatment effect and treatment process when treating the treatment target of the treatment applicant. Performs processing to output predictive information based on treated target information,
The treatment support information output step (m) (S2009) performs a process of outputting treatment support information based on the retrieved treated target information.
This is an operation method in which a treatment effect and treatment process prediction device, which is a computer, executes such a series of processes.

<Embodiment 7 Hardware Description>
FIG. 21 is a diagram for explaining hardware constituted by the main board and its peripheral devices of the treatment effect and treatment process prediction device, which is a computer according to the seventh embodiment based on the sixth embodiment. "CPU", "chip set" consisting of north bridge and south bridge, "non-volatile memory", "main memory", "I/O controller", "USB, IEEE1394, LAN terminal, etc.", "BIOS", " It consists of "PCI slot", "real time clock", etc.

Various programs and data (information) stored in non-volatile memory are expanded to the main memory when this system is started, and upon receiving execution instructions, the CPU sequentially executes programs using the data. has been done.

That is, in addition to the OS (operating system) and device drivers, the non-volatile memory contains a treatment applicant identification information acquisition program (a), a treatment applicant attribute information acquisition program (b), and a treatment applicant attribute information acquisition program. (c), a treatment desired target image information acquisition program (d), a treatment desired target information retention program (e), a treated target information retention program (f), a treated target information search program (g), It has a prediction information output program (h) and a treatment support information output program (m), and includes, as data, treatment applicant identification information, treatment applicant attribute information, treatment desired target attribute information, treatment desired target image information, Treatment desired target information, treated target information, prediction information, and further treatment support information are held. When this system is activated on a computer, these are developed into the main memory, and upon receiving an activation command, the CPU sequentially performs calculations using the programs and data.

According to this embodiment, it is possible to output treatment support information, which is information related to a treatment method useful for carrying out the retrieved treatment, to a person in charge of treatment.

<5. Effect>
For the treatment effect and treatment process prediction device having the above configuration, the treatment applicant can receive information such as therapist attribute information that is earthquake attribute information, treatment desired target attribute information that is attribute information of the treatment desired target, and treatment desired target By inputting the image information of the subject desired for treatment, which is the information of the image of It is possible to obtain simulated images and obtain predictive information on the effects of treatment. At the same time, you can also refer to information about the cost and duration of such treatment. Information regarding treatment can also be provided to those in charge of treatment.

Treatment applicant identification information acquisition unit (A)...0101
Treatment applicant attribute information acquisition unit (B)...0102
Treatment desired target attribute information acquisition unit (C)...0103
Treatment desired target image information acquisition unit (D)...0104
Treatment request information holding unit (E)...0105
Treated subject information holding unit (F)...0106
Treated subject information search department (G)...0107
Prediction information output unit (H)...0108

Claims (18)

Information that identifies a person who wishes to receive treatment for externally observable physical conditions (including, but not limited to, birthmarks, spots, burn scars, scars, cleft lips, etc.; the same shall apply hereinafter); a treatment applicant identification information acquisition unit (A) that acquires treatment applicant identification information that is;
a treatment seeker attribute information acquisition unit (B) that acquires treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker, who is a person who desires treatment;
Treatment-desired object attribute for acquiring treatment-desired object attribute information that is information indicating attributes related to the treatment-desired object (including, but not limited to, any one or more of location, size, shape, color, and progress; the same shall apply hereinafter) Information acquisition section (C);
a treatment-desired object image information acquisition unit (D) that acquires treatment-desired object image information that is information on images of the treatment-desired object;
a treatment-desiring subject information holding unit (E) that holds treatment-desiring subject information that is information in which treatment-seeking person attribute information, treatment-desiring subject attribute information, and treatment-desiring subject image information are associated with treatment-seeking person identification information;
Information regarding the treatment of other treated subjects (including, but not limited to, any one or more of images, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, and post-healing images). ), which is associated with information on treatment methods that are useful for implementing the treatment, as well as information on pre-treatment information, subsequent treatment effects, and/or information on the treatment process that identifies the person in charge of the treatment. a treated subject information holding unit (F) that holds treated subject information;
a treated subject information search unit (G) that searches for treatment examples of cases similar to the treatment desired subject information from the held treated subject information;
Selectable predictive information based on the searched similar treated target information as predictive information of the treatment effect and treatment process when treating the desired target of the treatment applicant based on the retrieved treated target information. a prediction information output unit (H) that outputs
A device for predicting therapeutic effects and treatment processes. The treatment effect and treatment process prediction device according to claim 1, wherein the treated target information held in the treated target information holding unit (F) includes at least one or more of image information before treatment, during treatment, and after treatment. . 3. The treated subject information search unit (G) includes image search means (J) for searching for treated subject information using the image acquired by the treatment desired subject image information acquisition unit (D). Treatment effect and treatment process prediction device. The predicted information output unit (H) includes a treated image information output means (K) that outputs image information indicating the treatment process and/or the treated state as the predicted information. Prediction device. The prediction information output unit (H) is a simulated image information output means (L) that outputs simulated image information that is information of an image that simulates the image information during treatment or that has been treated, which is included in the treated target information. The therapeutic effect and therapeutic process prediction device according to claim 3. The treatment effect and treatment process prediction device according to claim 1 , further comprising a treatment support information output unit (M) that outputs treatment support information based on the retrieved treated target information. Information that identifies a person who wishes to receive treatment for externally observable physical conditions (including, but not limited to, birthmarks, spots, burn scars, scars, cleft lips, etc.; the same shall apply hereinafter); a treatment seeker identification information acquisition step (a) of acquiring treatment seeker identification information that is;
a treatment seeker attribute information acquisition step (b) of acquiring treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker, who is a person who desires treatment;
Treatment-desired object attribute for acquiring treatment-desired object attribute information that is information indicating attributes related to the treatment-desired object (including, but not limited to, any one or more of location, size, shape, color, and progress; the same shall apply hereinafter) information acquisition step (c);
a treatment desired object image information acquisition step (d) of acquiring treatment desired object image information that is information on an image of the treatment desired object;
a step (e) of holding treatment-desired subject information, which is information in which treatment-desired person attribute information, treatment-desired subject attribute information, and treatment-desired subject image information are associated with treatment-desired person identification information;
Information regarding the treatment of other treated subjects (including, but not limited to, any one or more of images, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, and post-healing images). ), which is associated with information on treatment methods that are useful for implementing the treatment, as well as information on pre-treatment information, subsequent treatment effects, and/or information on the treatment process that identifies the person in charge of the treatment. a treated subject information holding step (f) of holding the treated subject information that has been received ;
a treated subject information searching step (g) of searching for treatment examples of cases similar to the treatment desired subject information from the held treated subject information;
Selectable predictive information based on the searched similar treated target information as predictive information of the treatment effect and treatment process when treating the desired target of the treatment applicant based on the retrieved treated target information. a prediction information output step (h) of outputting the
How to operate a computer-based treatment effect and treatment process prediction device. 8. The operating method according to claim 7 , wherein the treated object information held in the treated object information holding step (f) includes at least one or more of image information before treatment, during treatment, and after treatment. 8. The treated object information retrieval step (g) includes an image search substep (j) of searching for treated object information using the image acquired in the treatment desired object image information acquisition step (d) . How it works as described in. 10. The operating method according to claim 9 , wherein the prediction information output step (h) includes a treated image information output substep (k) of outputting image information indicating a treatment process or/and a treated state as prediction information. The prediction information output step (h) includes a simulated image information output substep (l ) The operating method according to claim 9 . The operating method according to claim 7 , further comprising a treatment support information output step (m) of outputting treatment support information based on the retrieved treated target information. Information that identifies a person who wishes to receive treatment for externally observable physical conditions (including, but not limited to, birthmarks, spots, burn scars, scars, cleft lips, etc.; the same shall apply hereinafter); a treatment seeker identification information acquisition step (a) of acquiring treatment seeker identification information that is;
a treatment seeker attribute information acquisition step (b) of acquiring treatment seeker attribute information, which is information indicating the attributes (age, gender) of the treatment seeker, who is a person who desires treatment;
Treatment-desired object attribute for acquiring treatment-desired object attribute information that is information indicating attributes related to the treatment-desired object (including, but not limited to, any one or more of location, size, shape, color, and progress; the same shall apply hereinafter) information acquisition step (c);
a treatment desired object image information acquisition step (d) of acquiring treatment desired object image information that is information on an image of the treatment desired object;
a step (e) of holding treatment-desired subject information, which is information in which treatment-desired person attribute information, treatment-desired subject attribute information, and treatment-desired subject image information are associated with treatment-desired person identification information;
Information regarding the treatment of other treated subjects (including, but not limited to, any one or more of images, location, size, progress, age and gender of the therapist, treatment method, treatment cost, treatment period, and post-healing images). ), which is associated with information on treatment methods that are useful for implementing the treatment, as well as information on pre-treatment information, subsequent treatment effects, and/or information on the treatment process that identifies the person in charge of the treatment. a treated subject information holding step (f) of holding the treated subject information that has been received ;
a treated subject information searching step (g) of searching for treatment examples of cases similar to the treatment desired subject information from the held treated subject information;
Selectable predictive information based on the searched similar treated target information as predictive information of the treatment effect and treatment process when treating the desired target of the treatment applicant based on the retrieved treated target information. a prediction information output step (h) of outputting
A program that is executed by a computer that predicts treatment effects and treatment processes. 14. The program according to claim 13 , wherein the treated subject information held in the treated subject information holding step (f) includes at least one or more of image information before treatment, during treatment, and after treatment. In the treated target information retrieval step (g), a request is made to further execute an image search substep (j) of searching for treated target information using the image acquired in the treatment desired target image information acquisition step (d). The program described in item 14 . The program according to claim 15 , wherein the predicted information output step (h) further executes a treated image information output substep (k) of outputting image information indicating a treatment process or/and a treated state as predicted information. . In the prediction information output step (h), a simulated image information output substep (l ) The program according to claim 15 , further causing the program to execute . The program according to claim 13 , further causing a treatment support information output step (m) of outputting treatment support information based on the retrieved treated target information.

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