JP2019036188A - Caries prediction system - Google Patents

Abstract

To provide a system that accurately predicts teeth which are likely to be affected by caries.SOLUTION: The caries risk prediction system (caries prediction system) 1 of the present invention includes: an acquisition unit 11 that acquires oral information including at least one of tooth brushing information which is information related to tooth brushing of a user and dentition information which is information related to a dentition of the user; a calculation unit 13 that calculates a caries risk of each tooth of the user based on the oral information acquired by the acquisition unit 11; and an output unit 14 that outputs the caries risk of each tooth calculated by the calculation unit 13.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a caries prediction system.

  As a method for deriving a caries risk indicating the likelihood of caries, there is a calculation method using information on the user's saliva, age, sex, and the presence or absence of smoking (for example, see Patent Document 1). In this technique, the caries risk of the entire user's oral cavity is calculated based on information such as the user's saliva.

International Publication No. WO2012 / 090995

  Here, in general, even in the oral cavity of the same user, there are teeth that are easily affected by caries and teeth that are not easily affected by caries. By grasping in advance teeth that are susceptible to caries, the user can perform actions to prevent the progression of caries, such as focusing on teeth that are susceptible to caries. In this regard, in the method described in Patent Document 1 described above, only the caries risk for the entire oral cavity is calculated, and the caries risk for each tooth is not calculated. Therefore, the user grasps a tooth that is susceptible to caries. I can't.

  This invention is made | formed in view of the said situation, and it aims at predicting the tooth | gear easily suffering from a caries with high precision.

  The caries prediction system according to an aspect of the present invention acquires oral information including at least one of tooth brushing information that is information related to a user's tooth brushing and tooth information that is information related to a user's tooth row. And a calculation unit that calculates the caries risk of each tooth of the user based on the oral cavity information acquired by the acquisition unit, and an output unit that outputs the caries risk of each tooth calculated by the calculation unit, Is provided.

  In the caries prediction system according to one aspect of the present invention, oral information including at least one of tooth brushing information and dentition information is acquired, and the caries risk of each tooth of the user is calculated based on the oral information, The caries risk is output. Since the caries risk is calculated for each tooth from the oral information, unlike the case where the caries risk of the entire oral cavity is calculated, it is possible to appropriately predict a tooth susceptible to caries. In the present invention, the caries risk is calculated in consideration of tooth brushing information and dentition information. Since toothpaste information and dentition information are information shown for each tooth and are highly related to the incidence of caries, calculating caries risk in consideration of these information, Teeth susceptible to caries can be predicted with high accuracy. Further, since the tooth brushing information and the dentition information are information that can be easily acquired using, for example, a toothbrush and a camera, it is possible to easily predict a tooth that is likely to suffer from caries.

  The acquisition unit acquires information indicating the degree of brushing of each tooth as toothpaste information, acquires information on at least one of the presence or absence of crowding in the oral cavity and the presence or absence of voids as dentition information, A tooth having a lower degree of brushing, crowding, and voids may be calculated with a higher caries risk. This makes it possible to appropriately increase the caries risk of teeth that are prone to caries (low-polishing, crowded, void-existing teeth). Easy teeth can be predicted with higher accuracy.

  The obtaining unit obtains oral information including eating and drinking information that is information relating to the eating and drinking of the user, obtains the number of times of eating and drinking within a predetermined period as the eating and drinking information, and the calculating unit increases the number of times of eating and drinking and caries. The risk may be calculated high. Generally, the higher the number of times of eating and drinking, the higher the caries risk. For this reason, the caries risk of each tooth can be calculated with higher accuracy by increasing the caries risk as the number of times of eating and drinking increases.

  The acquisition unit acquires the time at which toothpaste was performed as toothpaste information, acquires the time at which food and beverage was performed as food and beverage information, and the calculation unit is the first time after the time at which food and beverages were performed and the time at which the food was performed The caries risk may be calculated higher as the difference from the time of tooth brushing is larger. Generally, the caries risk increases as the time difference between the eating and drinking and the tooth brushing increases. For this reason, the caries risk of each tooth can be calculated with higher accuracy by increasing the caries risk as the time difference increases.

  The acquisition unit may acquire information indicating the degree of caries of each tooth of the user, and the calculation unit may calculate a caries risk only for teeth whose degree of caries is lower than a predetermined value. For teeth with a high degree of caries (tooth that has already progressed), only the teeth for which the user wants to know the caries risk are excluded from the caries risk calculation. can do. As a result, the risk calculation process can be performed more efficiently, and only the information necessary for the user can be provided to the user.

  ADVANTAGE OF THE INVENTION According to this invention, the tooth | gear easily affected by a caries can be estimated with high precision.

It is a block diagram which shows the function structure of the caries risk prediction system which concerns on this embodiment. It is a figure which shows the hardware constitutions of the portable terminal shown by FIG. It is a flowchart which shows a series of processes of the caries risk prediction method which the portable terminal shown by FIG. 1 performs.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the description of the drawings, the same reference numerals are used for the same or equivalent elements, and redundant descriptions are omitted.

  FIG. 1 is a block diagram showing a functional configuration of a caries risk prediction system 1 (caries prediction system) according to the present embodiment. The caries risk prediction system 1 is a system that predicts caries risk of each tooth of the user. Caries refer to a state in which the tooth substance is dissolved and lost by the acid produced by plaque, which is bacteria in the oral cavity. A carious tooth is called a dental caries. The caries risk is information indicating the susceptibility to caries (the degree of susceptibility to caries). Teeth with higher caries risk are more susceptible to caries. The caries risk prediction system 1 includes a mobile terminal 10 and a server device 50. The mobile terminal 10 is a communication terminal configured to be able to communicate with the server device 50, and is, for example, a smartphone or a tablet terminal. The server device 50 is a server configured to be able to communicate with the mobile terminal 10. 1 shows a state in which one server device 50 communicates with one mobile terminal 10 for convenience, but the server device 50 can actually communicate with a plurality of mobile terminals 10. It is configured. In the following description, “user” refers to a user who uses the mobile terminal 10 (a holder of the mobile terminal 10).

  The portable terminal 10 includes an acquisition unit 11, an oral cavity information DB 12, a calculation unit 13, and an output unit 14 as functional configurations. The mobile terminal 10 is configured by hardware shown in FIG. 2, for example.

  FIG. 2 is a diagram illustrating a hardware configuration of the mobile terminal 10. As shown in FIG. 2, the mobile terminal 10 is physically a data transmission / reception device such as one or a plurality of processors 1001, a memory 1002 as a main storage device, a storage 1003 such as a hard disk or a semiconductor memory, and a network card. The computer system includes a certain communication device 1004, an input device 1005, and an output device 1006 such as a display. Each function shown in FIG. 1 has an input device 1005, an output device 1006, and communication under the control of the processor 1001 by loading predetermined computer software on hardware such as the memory 1002 shown in FIG. This is realized by operating the apparatus 1004 and reading and writing data in the memory 1002 and the storage 1003.

  With reference to FIG. 1 again, details of each function of the mobile terminal 10 will be described.

  The acquisition unit 11 acquires oral information of a user (that is, a user who uses the mobile terminal 10). Oral information is information about the space (oral cavity) in the mouth between the mouth and the throat, and is not only information indicating the state of the oral cavity (for example, dentition information) but also information about events occurring in the oral cavity (for example, It is various information related to the oral cavity such as food and beverage information. Specifically, the acquisition unit 11 acquires oral information including user caries information, toothpaste information, dentition information, food and drink information, and oral environment information.

  The caries information is information indicating the degree of caries in each tooth of the user. The degree of caries is indicated by, for example, a caries health reference value. For teeth whose degree of caries is lower than a predetermined value, the health reference value is “healthy” (the caries are not progressing). For example, the acquisition unit 11 acquires the dental caries reference value of each tooth based on the intraoral image (image of each tooth) captured by the camera function of the mobile terminal 10 by a user operation. In this case, the acquisition unit 11 is imaged with, for example, an image of a tooth that is prepared in advance and indicates a caries state for each health reference value corresponding to the degree of caries (progression level). By comparing the image of the tooth in the oral cavity, the caries health reference value closest to the imaged state of each tooth is specified. The acquisition unit 11, for example, obtains a caries health reference value when an instruction to acquire a caries health reference value is given from the user on the application of the mobile terminal 10 and an intraoral image is designated. Do. Although the acquisition interval of the caries health reference value is arbitrarily determined by the user, for example, it is about once every several weeks to several months. In addition, the acquisition part 11 may acquire the health reference value of the dental caries of each tooth input to the portable terminal 10 by the user or the like based on the examination result of the dentist. The acquisition unit 11 stores the acquired caries information in the oral cavity information DB 12.

  Tooth brushing information is information about the user's tooth brushing. The tooth brushing information is, for example, information indicating the degree of brushing of each tooth and the time when tooth brushing was performed. The degree of brushing of each tooth is indicated by, for example, a score that becomes smaller as the degree of brushing is lower. The acquisition unit 11 is, for example, the position of each tooth acquired from the intraoral image (image of each tooth) captured by the camera function of the mobile terminal 10 and the acceleration sensor or gyro sensor built in the toothbrush 60 body. The degree of brushing of each tooth is acquired based on the displacement of the toothbrush 60 in the oral cavity acquired from the measurement results. The intraoral image may be captured by the camera function of the toothbrush 60 main body and transmitted to the mobile terminal 10. The acquisition unit 11 determines that the degree of brushing is lower for teeth considered to be less likely to reach the tuft (hair bundle) portion of the toothbrush 60. The acquisition part 11 acquires the said measurement result from the toothbrush 60 main body, for example by Bluetooth (trademark) communication. Moreover, the acquisition part 11 acquires the time of operation timing (namely, timing which communicates with the toothbrush 60 main body), for example as time which implemented the toothbrushing mentioned above. Or the acquisition part 11 may acquire the time which implemented toothpaste by the user's input on the application of the portable terminal 10. FIG. The acquisition unit 11 stores the acquired tooth brushing information in the oral cavity information DB 12.

  The dentition information is information related to the user's dentition. The dentition information is, for example, information regarding the presence or absence of crowding in the oral cavity and the presence or absence of voids. Information on the presence or absence of crowding in the oral cavity and the presence or absence of voids is indicated by a score that increases when crowding and voids are present. For example, the acquisition unit 11 acquires information on the presence or absence of crowding in the oral cavity and the presence or absence of voids based on the dentition acquired from the intraoral image captured by the camera function of the mobile terminal 10. In this case, the acquisition unit 11 is captured by comparing, for example, an image showing the crowded and voids in the oral cavity and the captured intraoral image using an image recognition technique, for example. The presence of crowding and voids in the oral cavity is determined. For example, when the acquisition unit 11 is instructed by the user to acquire information on the presence / absence of crowding on the application of the mobile terminal 10 and an intraoral image is specified, the presence / absence of crowding in the oral cavity and the gap Get information about presence / absence. Although the acquisition interval of the information regarding the presence or absence of crowding in the oral cavity and the presence or absence of voids is arbitrarily determined by the user, for example, it is about once every several weeks to several months. In addition, the acquisition part 11 may acquire the information regarding the presence or absence of the crowding in the oral cavity and the presence or absence of a space | gap input by the user etc. to the portable terminal 10 based on the examination result of a dentist. The acquisition unit 11 stores the acquired dentition information in the oral cavity information DB 12.

  The food / beverage information is information about the user's food / beverage. The eating and drinking information is, for example, the number of times of eating and drinking within a predetermined period (for example, per day) and the time when the eating and drinking was performed. The acquisition unit 11 acquires the number of times of eating and drinking within a predetermined period by specifying the timing of eating and drinking from a measurement result of an acceleration sensor or a gyro sensor built in the smart watch 70 attached to the user's arm, for example. . The acquisition part 11 determines with the timing of eating and drinking, when it is thought that the smart watch 70 is continuously displaced to the oral cavity vicinity from measurement results, such as an acceleration sensor, for example. The acquisition unit 11 acquires the measurement result from the smart watch 70 by, for example, Bluetooth communication. Moreover, the acquisition part 11 acquires the time of operation | movement (namely, timing which communicates with the smartwatch 70), for example as time which implemented the food / beverage mentioned above. Alternatively, the acquisition unit 11 may acquire the time when eating and drinking was performed by a user input on the application of the mobile terminal 10. The acquisition unit 11 stores the acquired food / beverage information in the oral cavity information DB 12.

The oral environment information is information related to the user's oral environment, for example, information derived from the number of mutans bacteria identified from the user's saliva, pH (an index representing hydrogen ion concentration), acid buffering capacity, and the like ( Score). The number of mutans bacteria is measured, for example, by a detection method using resazurin, which is a redox indicator. Moreover, pH and acid buffer capacity are measured, for example by the pH indicator method. The acquisition unit 11 increases the score of the oral environment information as the number of mutans bacteria increases and the pH and the acid buffering capacity decrease. Specifically, the acquisition unit 11 calculates the score of the oral environment information by the following equation (1). In the following formula (1), OE is a score of oral environment information, MC is the number of mutans bacteria, pH is pH which is an index indicating hydrogen ion concentration, AC is acid buffering capacity, subscript u is a value for each user. The notations indicating ρ, σ, and τ are weighting coefficients.

  As the weighting coefficients ρ, σ, and τ in the above equation (1), predetermined fixed values may be used, or values that are optimized as needed by a machine learning method or the like may be used. When a predetermined fixed value is used, a fixed value common to all users may be used, or a fixed value for each user may be used. Even when a value optimized by a machine learning method or the like is used, an optimized value common to all users may be used, or a value optimized for each user may be used. As the machine learning technique, for example, Logistics Regression or Support Vector Machine (SVM) can be applied. The acquisition unit 11 stores the acquired oral environment information in the oral cavity information DB 12.

  The oral cavity information DB 12 is a database that stores oral cavity information stored by the acquisition unit 11. Specifically, the oral cavity information DB 12 stores caries information, tooth brushing information, dentition information, food and drink information, and oral environment information as the oral information of the user.

  The calculation unit 13 calculates the caries risk of each tooth of the user based on the oral cavity information acquired by the acquisition unit 11. For example, when the calculation of the dental caries risk for each tooth is instructed by the user on the application of the mobile terminal 10, the calculation unit 13 calculates the dental caries risk for each tooth. Alternatively, the calculation unit 13 may calculate the caries risk of each tooth at a predetermined time interval.

  The calculation unit 13 first determines a tooth for risk calculation. Specifically, the calculation unit 13 acquires caries information from the oral cavity information DB 12, and among each tooth, a tooth whose degree of caries is lower than a predetermined value ("healthy" in the health reference value (the progress of caries). Only teeth that are not considered to be) are determined as the risk calculation target teeth.

  The calculation unit 13 calculates a caries risk of each tooth that is a risk calculation target. The calculation unit 13 acquires tooth brushing information, dentition information, food and drink information, and oral environment information from the oral cavity information DB 12, and calculates the caries risk of each tooth based on these information. Based on the tooth brushing information, the calculation unit 13 calculates a higher caries risk for teeth with a lower degree of brushing. Based on the dentition information, the calculation unit 13 calculates a higher caries risk for teeth with crowded and voids in the oral cavity. The calculation unit 13 calculates the caries risk of each tooth higher as the number of times of eating and drinking increases based on the eating and drinking information. The calculation unit 13 calculates the caries risk of each tooth higher as the score derived from the number of mutans bacteria, pH (an index representing hydrogen ion concentration), acid buffering capacity, and the like is higher based on the oral environment information. . The calculation unit 13 increases the dental caries risk of each tooth as the difference between the time when the food is eaten and the time when the first toothpaste after the time when the food is performed is large based on the food information and the toothpaste information. calculate. That is, the calculation unit 13 calculates the caries risk of each tooth higher as the time difference from eating and drinking to brushing teeth is larger.

Specifically, the calculation unit 13 calculates the caries risk of each tooth according to the following equation (2). In the following formula (2), r is a caries risk, PT is a score indicating the degree of polishing, NE is the number of times of eating and drinking, RT is a score according to the presence or absence of crowding and voids, and OE is derived from the above formula (1). The oral environment information score, DT is the time difference between the time when the food was eaten and the time when the first toothpaste was carried out after the time when the food was carried out, b is a predetermined bias, and the subscript u is for each user A notation indicating a value, a subscript t is a notation indicating a value for each tooth, α, β, γ, δ, and ε are weighting coefficients, and a1 to a3 are coefficients in a sigmoid function.

  In addition, as the weighting coefficients α, β, γ, δ, and ε in the above equation (2), predetermined fixed values may be used, or values that are optimized as needed by a machine learning method or the like may be used. Good. When a predetermined fixed value is used, a fixed value common to all users may be used, or a fixed value for each user may be used. Even when a value optimized by a machine learning method or the like is used, an optimized value common to all users may be used, or a value optimized for each user may be used. As the machine learning technique, for example, Logistics Regression or Support Vector Machine (SVM) can be applied. Further, as the sigmoid functions a1 to a3 in the above formula (2), for example, fixed values that are determined in advance may be used.

  The calculation unit 13 outputs only the dental caries risk whose calculated caries risk is higher than a predetermined threshold to the output unit 14. That is, only the dental caries risk that tends to be caries (cavities) is output to the output unit 14. In addition, the calculation unit 13 transmits to the server device 50 the caries risk of all teeth for which the caries risk has been calculated.

  The output unit 14 outputs the caries risk of each tooth calculated by the calculation unit 13. Specifically, the output unit 14 presents (displays) the dental caries risk input to the calculation unit 13 on the display of the mobile terminal 10. As a result, the user can be informed of teeth that are susceptible to caries. Further, the output unit 14 may present life and action advice for preventing the progress of caries on the display of the mobile terminal 10 together with the caries risk. Specifically, for example, when the risk of caries of the right front tooth is high, the output unit 14 gives advice such as “carefully brush your teeth because the central incisor on the right side of the upper jaw tends to caries”. It may be presented on a display. The output unit 14 may have a function of notifying the dental caries risk of each tooth (information on teeth susceptible to caries) to a doctor other than the user (display of the mobile terminal 10), for example. .

  The server apparatus 50 receives the caries risk of each user from the portable terminal 10 of each user. Further, the server device 50 transmits information used for calculating caries risk to the portable terminal 10 of each user, specifically, the value of the weighting coefficient in the above-described equations (1) and (2). May be. When the weighting coefficient is calculated by machine learning, the server device 50 itself may perform machine learning and calculate various weighting coefficients.

  Next, a series of processes of the caries risk prediction method performed by the mobile terminal 10 will be described with reference to FIG. FIG. 3 is a flowchart showing a series of processes of the caries risk prediction method performed by the mobile terminal 10.

  First, the user's oral information is acquired by the acquisition unit 11 (step S1). The acquisition unit 11 acquires oral information including user caries information, tooth brushing information, dentition information, food and drink information, and oral environment information.

  Subsequently, the acquisition unit 11 stores the oral information of the user in the oral information DB 12 (step S2). The acquisition unit 11 may store the oral information in the oral information DB 12 at the timing when the oral information is acquired, or may store the oral information in the oral information DB 12 at predetermined time intervals.

  Subsequently, the tooth for risk calculation is determined by the calculation unit 13 (step S3). The calculation unit 13 acquires caries information from the oral cavity information DB 12 and determines only teeth having a caries degree lower than a predetermined value among the teeth as risk calculation target teeth.

  Then, the caries risk of each tooth to be risk calculated is calculated by the calculation unit 13 (step S4). The calculation unit 13 acquires tooth brushing information, dentition information, food and drink information, and oral environment information from the oral cavity information DB 12, and calculates the caries risk of each tooth based on these information.

  Subsequently, the tooth that presents the caries risk to the user is determined by the calculation unit 13 (step S5). The calculation unit 13 outputs only the dental caries risk whose calculated caries risk is higher than a predetermined threshold to the output unit 14.

  Subsequently, the caries risk of each tooth is presented to the user by the output unit 14 (step S6). The output unit 14 presents the dental caries risk input to the calculation unit 13 on the display of the mobile terminal 10. Furthermore, the output unit 14 presents life and action advice for preventing the progress of caries on the display of the mobile terminal 10 together with the caries risk.

  Next, effects of the mobile terminal 10 according to the present embodiment will be described.

  The mobile terminal 10 according to the present embodiment includes an acquisition unit 11 that acquires oral information including at least one of tooth brushing information that is information related to the user's tooth brushing and tooth information that is information related to the user's tooth teeth. Based on the oral cavity information acquired by the acquisition unit 11, the calculation unit 13 that calculates the caries risk of each tooth of the user, and the output unit 14 that outputs the caries risk of each tooth calculated by the calculation unit 13. And comprising.

  In the mobile terminal 10 according to the present embodiment, oral information including at least one of tooth brushing information and dentition information is acquired, the caries risk of each tooth of the user is calculated based on the oral information, and the caries Risk is output. Since the caries risk is calculated for each tooth from the oral information, unlike the case where the caries risk of the entire oral cavity is calculated, it is possible to appropriately predict a tooth susceptible to caries. In the present invention, the caries risk is calculated in consideration of tooth brushing information and dentition information. Since toothpaste information and dentition information are information shown for each tooth and are highly related to the incidence of caries, calculating caries risk in consideration of these information, Teeth susceptible to caries can be predicted with high accuracy.

  As a method of calculating the caries risk for each tooth, for example, a method of providing a plurality of pH sensors (pH sensors corresponding to each tooth) in the oral cavity can be considered. However, the method of providing a plurality of pH sensors in the oral cavity has a problem that the burden on the user (the burden due to the provision of a plurality of pH sensors in the oral cavity) is large. In this respect, since the portable terminal 10 according to the present embodiment uses toothpaste information and dentition information, which are information that can be easily obtained using, for example, a toothbrush and a camera, the caries while reducing the burden on the user. It is possible to easily predict a tooth that is easily affected by the disease.

  The acquisition unit 11 acquires information indicating the degree of brushing of each tooth as toothpaste information, acquires information regarding the presence or absence of crowding in the oral cavity and the presence or absence of voids as dentition information, and the calculation unit 13 has a degree of brushing. The lower the tooth with crowding and voids, the higher the caries risk is calculated. This makes it possible to appropriately increase the caries risk of teeth that are prone to caries (low-polishing, crowded, void-existing teeth). Easy teeth can be predicted with higher accuracy.

  The acquisition unit 11 acquires oral information including eating and drinking information that is information related to the user's eating and drinking, acquires the number of times of eating and drinking within a predetermined period as the eating and drinking information, and the calculation unit 13 increases the number of times of eating and drinking. Calculate caries risk high. Generally, the higher the number of times of eating and drinking, the higher the caries risk. For this reason, the caries risk of each tooth can be calculated with higher accuracy by calculating the caries risk as the number of times of eating and drinking increases.

  The acquisition unit 11 acquires the time at which toothpaste was performed as toothpaste information, acquires the time at which food and drink were performed as food / beverage information, and the calculation unit 13 includes the time at which food / drink was performed and the time after the time at which the food / drink was performed The greater the difference from the time of the first tooth brushing, the higher the caries risk. Generally, the caries risk increases as the time difference between the eating and drinking and the tooth brushing increases. For this reason, by calculating the caries risk higher as the time difference is larger, the caries risk of each tooth can be calculated with higher accuracy.

  The acquisition unit 11 acquires information indicating the degree of caries for each tooth of the user, and the calculation unit 13 calculates caries risk only for teeth whose degree of caries is lower than a predetermined value. For teeth with a high degree of caries (tooth that has already progressed), only the teeth for which the user wants to know the caries risk are excluded from the caries risk calculation. can do. As a result, the risk calculation process can be performed more efficiently, and only the information necessary for the user can be provided to the user.

  In addition, the block diagram used for description of the said embodiment has shown the block of the functional unit. These functional blocks (components) are realized by any combination of hardware and / or software. Further, the means for realizing each functional block is not particularly limited. That is, each functional block may be realized by one device physically and / or logically coupled, and two or more devices physically and / or logically separated may be directly and / or indirectly. (For example, wired and / or wirelessly) and may be realized by these plural devices.

  For example, the mobile terminal 10 or the like in the above embodiment may function as a computer that performs processing of the mobile terminal 10 in the above embodiment. FIG. 2 is a diagram illustrating an example of a hardware configuration of the mobile terminal 10 according to the present embodiment. The above-described portable terminal 10 may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

  In the following description, the term “apparatus” can be read as a circuit, a device, a unit, or the like. The hardware configuration of the mobile terminal 10 may be configured to include one or more of the devices illustrated in FIG. 1 or may be configured not to include some devices.

  Each function in the portable terminal 10 is performed by reading predetermined software (program) on hardware such as the processor 1001 and the memory 1002, so that the processor 1001 performs an operation and performs communication by the communication device 1004, in the memory 1002 and the storage 1003. This is realized by controlling reading and / or writing of data.

  For example, the processor 1001 controls the entire computer by operating an operating system. The processor 1001 may be configured by a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic device, a register, and the like.

  Further, the processor 1001 reads a program (program code), a software module, and / or data from the storage 1003 and / or the communication device 1004 to the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above embodiments is used. For example, the acquisition unit 11 of the mobile terminal 10 may be realized by a control program stored in the memory 1002 and operated by the processor 1001, and may be realized similarly for other functional blocks. Although the above-described various processes have been described as being executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. Note that the program may be transmitted from a network via a telecommunication line.

  The memory 1002 is a computer-readable recording medium, and includes, for example, at least one of ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), RAM (Random Access Memory), and the like. May be. The memory 1002 may be referred to as a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, and the like that can be executed to implement the instrument sound recognition method according to the above-described embodiment.

  The storage 1003 is a computer-readable recording medium such as an optical disc such as a CD-ROM (Compact Disc ROM), a hard disc drive, a flexible disc, a magneto-optical disc (eg, a compact disc, a digital versatile disc, a Blu-ray). (Registered trademark) disk, smart card, flash memory (for example, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium described above may be, for example, a database, a server, or other suitable medium including the memory 1002 and / or the storage 1003.

  The communication device 1004 is hardware (transmission / reception device) for performing communication between computers via a wired and / or wireless network, and is also referred to as a network device, a network controller, a network card, a communication module, or the like.

  The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that accepts an input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that performs output to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

  The devices such as the processor 1001 and the memory 1002 are connected by a bus 1007 for communicating information. The bus 1007 may be configured with a single bus or may be configured with different buses between apparatuses.

  The mobile terminal 10 includes hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), and a field programmable gate array (FPGA). A part or all of each functional block may be realized by the hardware. For example, the processor 1001 may be implemented by at least one of these hardware.

  Although the present invention has been described in detail above, it will be apparent to those skilled in the art that the present invention is not limited to the embodiments described herein. The present invention can be implemented as a modified and changed mode without departing from the spirit and scope of the present invention defined by the description of the scope of claims. Therefore, the description of the present specification is for illustrative purposes and does not have any limiting meaning to the present invention.

  For example, the oral cavity information used for calculating the dental caries risk of each tooth has been described as using the user's dental caries information, tooth brushing information, dentition information, food and drink information, and oral environment information, but is not limited thereto. The oral information may include at least one of tooth brushing information and dentition information.

  In addition, although it has been described that the mobile terminal 10 calculates and outputs a caries risk, the present invention is not limited to this. May be calculated. That is, the server that communicates with the mobile terminal 10 may have functions corresponding to the acquisition unit 11, the oral cavity information DB 12, the calculation unit 13, and the output unit 14 described above.

  As long as there is no contradiction, the order of the processing procedures, flowcharts, and the like of each aspect / embodiment described in this specification may be changed. For example, the methods described herein present the elements of the various steps in an exemplary order and are not limited to the specific order presented.

  Input / output information or the like may be stored in a specific location (for example, a memory) or may be managed by a management table. Input / output information and the like can be overwritten, updated, or additionally written. The output information or the like may be deleted. The input information or the like may be transmitted to another device.

  The determination may be performed by a value represented by 1 bit (0 or 1), may be performed by a true / false value (Boolean: true or false), or may be compared with a numerical value (for example, a predetermined value) Comparison with the value).

  Each aspect / embodiment described in the present specification may be used alone, may be used in combination, or may be used by switching according to execution. In addition, notification of predetermined information (for example, notification of “being X”) is not limited to explicitly performed, and may be performed implicitly (for example, notification of the predetermined information is not performed). Good.

  Software, whether it is called software, firmware, middleware, microcode, hardware description language, or other names, instructions, instruction sets, codes, code segments, program codes, programs, subprograms, software modules , Application, software application, software package, routine, subroutine, object, executable file, execution thread, procedure, function, etc. should be interpreted broadly.

  Also, software, instructions, etc. may be transmitted / received via a transmission medium. For example, software may use websites, servers, or other devices using wired technology such as coaxial cable, fiber optic cable, twisted pair and digital subscriber line (DSL) and / or wireless technology such as infrared, wireless and microwave. When transmitted from a remote source, these wired and / or wireless technologies are included within the definition of transmission media.

  Information, signals, etc. described herein may be represented using any of a variety of different technologies. For example, data, commands, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description are voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these May be represented by a combination of

  Note that the terms described in this specification and / or terms necessary for understanding this specification may be replaced with terms having the same or similar meaning.

  As used herein, the terms “system” and “network” are used interchangeably.

  In addition, information, parameters, and the like described in this specification may be represented by absolute values, may be represented by relative values from predetermined values, or may be represented by other corresponding information. .

  The names used for the above parameters are not limiting in any way. Further, mathematical formulas and the like that use these parameters may differ from those explicitly disclosed herein.

  The terms “connected”, “coupled”, or any variation thereof, means any direct or indirect connection or coupling between two or more elements and It can include the presence of one or more intermediate elements between two “connected” or “coupled” elements. The coupling or connection between the elements may be physical, logical, or a combination thereof. As used herein, the two elements are radio frequency by using one or more wires, cables and / or printed electrical connections, and as some non-limiting and non-inclusive examples By using electromagnetic energy, such as electromagnetic energy having wavelengths in the region, the microwave region and the light (both visible and invisible) region can be considered “connected” or “coupled” to each other.

  As used herein, the phrase “based on” does not mean “based only on,” unless expressly specified otherwise. In other words, the phrase “based on” means both “based only on” and “based at least on.”

  Any reference to elements using the designations “first,” “second,” etc. as used herein does not generally limit the amount or order of those elements. These designations can be used herein as a convenient way to distinguish between two or more elements. Thus, a reference to the first and second elements does not mean that only two elements can be employed there, or that in some way the first element must precede the second element.

As long as “including”, “comprising” and variations thereof are used in the specification or claims, these terms are inclusive of the term “comprising”. Intended to be Further, the term “or” as used herein or in the claims is not intended to be an exclusive OR.

  In this specification, a device is intended to include a plurality of devices unless the context or technology clearly indicates that there is only one device.

  DESCRIPTION OF SYMBOLS 1 ... Caries risk prediction system (caries prediction system), 10 ... Portable terminal, 11 ... Acquisition part, 13 ... Calculation part, 14 ... Output part.

Claims (5)

An acquisition unit that acquires oral information including at least one of tooth brushing information that is information relating to the user's tooth brushing and tooth row information that is information relating to the user's tooth row;
Based on the oral cavity information acquired by the acquisition unit, a calculation unit that calculates the caries risk of each tooth of the user;
A caries prediction system comprising: an output unit that outputs the caries risk of each tooth calculated by the calculation unit. The acquisition unit
As the tooth brushing information, obtain information indicating the degree of brushing of each tooth,
As the dentition information, obtain information on at least one of the presence or absence of crowding in the oral cavity and the presence or absence of voids,
The caries prediction system according to claim 1, wherein the calculation unit calculates the caries risk higher for a tooth having a lower degree of brushing, a presence of the crowd, and a gap. The acquisition unit
Obtaining the oral information including food and drink information that is information relating to the user's food and drink;
As the eating and drinking information, obtain the number of times of eating and drinking within a predetermined period,
The caries prediction system according to claim 1 or 2, wherein the calculation unit calculates the caries risk higher as the number of times of eating and drinking is larger. The acquisition unit
As the toothpaste information, obtain the time when toothpaste was performed,
As the food and beverage information, obtain the time when the food and drink were carried out,
The said calculation part calculates the said caries risk high, so that the difference of the time which implemented the said food and drink and the time which implemented the first said toothpaste after the time which implemented this food and drink is large. Caries prediction system. The acquisition unit acquires information indicating a degree of caries of each tooth of the user,
The caries prediction system according to any one of claims 1 to 4, wherein the calculation unit calculates the caries risk only for teeth whose degree of caries is lower than a predetermined value.

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