KR20170098414A

KR20170098414A - Systems and algorithms for self differential diagnosis of diseases

Info

Publication number: KR20170098414A
Application number: KR1020160020162A
Authority: KR
Inventors: 최용원
Original assignee: 최용원
Priority date: 2016-02-20
Filing date: 2016-02-20
Publication date: 2017-08-30

Abstract

The present invention relates to a system for self differential diagnosis of diseases to enhance the health of a user, the system including software modules capable of being interpreted by a computer language. According to the present invention, the system uses medical information data and disease data of the user to automatically request information additionally required for a differential diagnosis to the user, ranks and lists the diseases to be differentiated through scoring and weight assigning algorithms in accordance with features of the diseases, and outputs and provides the same to the user.

Description

[0002] Systems and algorithms for self differential diagnosis of diseases [0003]

More particularly, the present invention relates to a system and method for diagnosing and diagnosing a disease by using data of the user's age, sex, past history, clinical symptoms, test results, To a system for ranking and cataloging diseases to be diagnosed differently through a score assignment and a weighting algorithm according to the characteristics of a disease.

In order to diagnose the disease, the practitioner carries out examination through medical examination and physical examination. In this process, the diseases that should be discriminated based on the knowledge and experience of the person are listed in real time, and new interviews and physical examinations are performed according to the differential diagnoses listed in real time, and additional examinations are carried out if necessary. This is done purely by humans, and a number of decision support systems that clinicians can use incidentally to help with this process have been developed.

However, the self-diagnostic system that can be used by ordinary people who are not familiar with medical information has been limited to limited methods such as self-diagnostic questionnaire for individual diseases such as depression and alcoholism.

Therefore, there is a need to provide concrete measures for a self-diagnosis system that can easily use self-diagnosis of comprehensive diseases.

There are people who are in a remote area with poor access to medical care, who do not think their clinical symptoms are minor, or who have lost their treatment due to unfounded self-diagnosis and treatment. In this case, the disease becomes worse and it becomes difficult to treat, and the medical expenses for treatment are increased compared with those treated at the early stage.

In order to diagnose the disease, it is necessary to know not only the age and sex of the user but also the clinical symptoms, the prevalence of various diseases, mortality, epidemiology, clinical symptoms, etc., but it is difficult for individual individuals to know. Moreover, apart from knowing about the disease, integrating medical information into a list of possible diseases, ie making a list of differential diseases, is a new field of concern. Therefore, if a software program based on the present invention is used to perform such a procedure, the user can be provided with information on possible symptoms of a disease and the risk of diseases, You can help.

By obtaining a list of diseases that may be present to the user without difficulty, the user can receive medical treatment at an appropriate time, thereby improving the health of the individual and preventing the increase of medical expenses in the event of the worsening of the disease in advance.

1 is a block diagram of a self-diagnosis diagnostic system according to the present invention.
2 is a process flow diagram of one embodiment of a software program based on the present invention.
3 is a systematic diagram illustrating an example of visualizing the structure of a symptom database.
FIG. 4 is a systematic diagram showing an example of visualizing the structure of the question database.
5 is a systematic diagram illustrating an example of visualizing the structure of a disease database.
6 is a schematic diagram showing an embodiment of the present invention.
7 is a schematic diagram showing an embodiment of the present invention.
8 is a systematic diagram showing an embodiment of the present invention.
9 is a systematic diagram showing an embodiment of the present invention.
10 is a schematic diagram showing an embodiment of the present invention.
11 is a systematic diagram showing an embodiment of the present invention.
12 is a systematic diagram showing an embodiment of the present invention.

Hereinafter, the configuration of the present invention will be described in detail with reference to preferred embodiments of the present invention and the accompanying drawings.

1 is a block diagram of a self-diagnosis diagnostic system according to the present invention. As shown in the figure, the self-diagnosis diagnostic system includes a user 10, an input module 20, a disease listing calculation module 30, a differential diagnosis list 40, an additional information extraction calculation module 50, an output module 60, A symptom connection module 70, a symptom database D1, a question database D2, and a disease database D3. The main symptom processing step flow and the other step flow are distinguished from each other.

The user 10 is a person who uses a differential diagnosis system and is a person who wants to know a disease related to his or her symptoms through a software program based on the present invention.

The input module 20 is a module that accepts information input by the user 10 in the system. And receives information to be input by the user according to the basic medical information of the user, main symptom, and information request presented by the system.

The disease cataloging calculation module 30 refers to a calculation module for scoring and cataloging diagnoses to be discriminated based on the information input through the input module 20. [ The above process includes a scoring step of scoring points for each disease of the disease database D3 based on the information input from the user 10. [ The calculation module includes a step of listing the diseases that may be present in the user to the differential disease list 40, which may lead to a serious disorder even if the possibility of the user is somewhat low.

The differential disease list 40 refers to a list of diseases that the user 10 may or may be suffering from, which are scored by the disease listing operation module 30. This may include classification of disease (ICD), disease name, score given by disease listing operation module 30, and the like. The differential disease list 40 is also a result that the user 10 wants to know, but is not invariant and can vary with the progress of the system. In addition, the diseases in this list represent possibilities and are not diagnostic by themselves.

The additional information extraction operation module 50 is a calculation module for extracting a question for obtaining additional information meaningful to the differential diagnosis from the user 10 and sending it out to the output module 60. This process invokes the characteristic questions included in the disease database (D3) for the diseases in the differential disease list (40), or analyzes the clinical symptoms that may occur at the onset of the disease through the disease database (D3) Retrieves the question for obtaining the related additional information from the question database D2, and sends it to the output module 60 to show it to the user. If there is no further information to be extracted, the user 10 is instructed to input a main symptom which has not yet been investigated, and the differential diagnosis list 40 is sent to the user 10 10). If there is no additional main symptom input from the user 10, the self-diagnosis system is terminated.

The symptom connection module 70 is a module for extracting a question for obtaining additional information from the patient information inputted from the user 10 using the main symptom and sending it out to the output module 60. Inquires the main symptom inputted in the symptom database D1 and retrieves the question for obtaining the related additional information from the question database D2 and outputs it to the user 10 through the output module 60. [

The output module 60 outputs a list of differential diseases obtained in the system, a question and a guide for obtaining additional information, and an end of the program.

The symptom database D1 refers to a database in which a variety of symptom expressions and corresponding symptom groups are paired. 3 is a systematic diagram showing an example of visualizing the structure of the symptom database D1. Symptom group (D11) and symptom list (D12) are paired.

The question database D2 means a database that collects information on symptom groups, medical questions, and diseases associated therewith. 4 is a systematic diagram showing an example of visualizing the structure of the question database D2. There is a symptom group item D21 and a question content item D22 for the symptom group. When the user 10 is affirmative for the question content item D22 and the negative list item D23 is related to the related disease list item D23 Related disease list item (D24) was paired.

The disease database (D3) contains a database containing the epidemiological characteristics of diseases in the International Classification of Diseases (sex and age, disease mortality), clinical symptoms, and questions about distinct characteristics it means. Each information is based on the medical papers and statistical information of the Health Insurance Review and Assessment Service, and papers on diseases published in medical journals. 5 is a systematic diagram showing an example of visualizing the structure of the disease database D3. (D31), disease name (D32), illness English name item (D33), sex and age related prevalence item (D34), clinical appearance item (D35), characteristic question item (D36) And a weighted item for the characteristic question (D37).

As shown in FIG. 1, the present invention has a repeated cyclic structure so that continuous feedback is provided to the user 10 until a final end point. The first cycle after the system of the present invention is executed requires the process of obtaining the main symptoms together with the basic medical information of the user 10. [ If the main symptom is inputted, the system proceeds through the symptom connection module 70, and if not, the disease list computation module 30.

Figure 2 is a flow diagram of one embodiment of a software program based on the present invention, and the present invention is not limited to this embodiment. In the personal medical record input step, the system receives information such as the age, gender, and past history of the user 10, and receives the main symptoms of the user 10 in the main symptom input step. In the additional question answering step, the system asks the user for necessary additional information, obtains symptom-related information from the user 10, forms a temporary differential diagnosis list, and outputs a final differential diagnosis list if there is no additional information to be requested. At this time, if there are symptoms that have not been investigated by the user, the procedure is repeated from the main symptom input stage to construct the final differential diagnosis again.

Figs. 6 to 12 are schematic diagrams showing the embodiment shown by the flow chart in Fig.

6 is an example of a screen showing the first step that the user 10 has to input after executing the software program, in which the system receives the personal medical record of the user 10. The step guide item S11 is displayed and the input of the user 10 is led to the directive item S12. If it is selected for the item (S13), it is displayed as help in the item (S16) to help correct input. Data of various formats such as text format data and check box type data like the item S15 are input as in the item S14.

Then, the main symptom is inputted as shown in the example of Fig. The step guide item S21 is displayed and the input of the user 10 is directed to the directive item S22. When writing is made in the input item S23, the symptom database D1 searches the symptom database D1 for the index item S24, and the user 10 selects the symptom list.

Next, as shown in FIG. 8, for example, the symptom group D11 information selected in the previous step is processed by the symptom connection module 70 and a related question is output. The step guide item S31 is displayed and the input of the user 10 is led to the directive item S32. When the item (S33) is selected, the contents of the differential diagnosis list (40) are shown. The question item S34 is composed of the questions extracted from the question database D2 and the difference diagnosis list 40 is generated in real time while a score is given for each disease in the differential diagnosis list 40 according to the answer item S35. Lt; / RTI > The updating process is performed by the disease cataloging calculation module 30.

FIG. 9 is an example of a screen that the user 10 can view when the item S33 of FIG. 8 is selected. The user can return to the previous screen with the close item E2 and guide the user 10 with the directive item E3. According to the differential disease list (40), there is a list of diseases in two possible types: disease item (E4) and disease item to be considered (E6). If you select the disease item (E5), provide information about the disease.

10 is an example of a disease information screen that the user 10 can view when the disease item E5 of FIG. 9 is selected. You can show the current step with the title item (E7), return to the previous screen with the close item (E8), a brief introduction of the disease with the definition item (E9) (E11) of the treatment.

11 is an example of a screen that the user 10 can see when there is no additional information to request, i.e., when the additional information extraction operation module 50 is no longer able to extract new questions. The current step is displayed in the title item S41, the previous screen is displayed in the close item 42, and the user 10 is guided to the directive item S43. According to the differential disease list (40), there is a list of diseases in two forms: a possible disease item (S45) and a disease item to be considered (S46). When the disease item (S47) is selected, information on the disease is provided. If the symptom addition item (S44) is selected, additional information can be entered for the symptom that has not been investigated.

12 is an example of a screen that the user 10 can see when the symptom addition item (S44) of FIG. 11 is selected. The step guide item S51 is displayed and the input of the user 10 is led to the directive item S52. When writing is made in the entry item (S53), the symptom database (D1) searches the symptom database (D1) for the symptom list in the index item (S54), and allows the user (10) to select the symptom list.

Claims

The present invention includes software modules that can be interpreted in a computer language as a self diagnosis diagnostic system of disease, the software modules including an input module, an output module, a symptom connection module, a disease codification operation module and an additional information extraction operation module and,
A symptom database which is data recorded by pairing a variety of symptom expressions and corresponding symptom groups;
A question database, in which data such as a symptom group, a question or image information for obtaining additional information, and a list of diseases associated therewith are recorded together; And
A disease database which is data in which contents such as epidemiological characteristics and clinical symptoms of diseases, question lists of distinctive features, and image information on diseases are recorded in an organized manner,
Receiving medical information of a user using an input module;
Symptoms Using the connection module,
Identifying new necessary information from the user's medical information by using a symptom database in response to a main symptom, and requesting the user;
Using the disease categorization operation module,
Scoring each disease in the disease database based on the medical information of the user, and cataloging them into a list of differential diseases if there are diseases matching the reference point;
MORE INFORMATION Using the Extraction Operation module,
Inquiring the characteristics of the disease in the disease database based on the differential disease list, calling information from the query database, excluding the already obtained information, and obtaining new required information and requesting the user; And
Using the output module,
And outputting the information or information request to the user.

2. The method of claim 1, wherein receiving medical information of a user of the system comprises the steps of: obtaining a true-false type, a matching type, a multiple-choice type, a free-form statement, and keyword search in the form of at least one of the following.

The method according to claim 1,
Wherein receiving medical information of a user of the system comprises receiving data stored in a manner interpretable in a computer language, in addition to direct input by the user.

2. The system of claim 1, wherein the computer-based and mobile software program based on the system comprises:
A disease database, and a first repository in which the question database is stored;
A second storage for storing medical information of a user; And
And a third repository for storing the differential disease list.

2. The system of claim 1, wherein the computer-
A function of providing disease information such as a diagnosis standard, a treatment method, a test method, and a prognosis to a user.