KR20200022109A - System and method for constructing ontology information system of Oriental medicine data - Google Patents

Abstract

The present invention relates to a system and method for constructing an ontology information system for oriental medicine data which construct oriental medicine data into an ontology information system by collecting oriental medicine data and linking object-to-object relationship properties through code classification and analysis to enable ontology-based inference.

Description

System and method for constructing ontology information system of Oriental medicine data}

The present invention relates to a system and method for constructing an ontology information system of herbal data, wherein the herbal data is collected into an ontology information system so that ontology-based inference is possible by connecting the object and the relational property between objects through code classification and analysis. The present invention relates to an ontology information system construction system and method for building herbal data.

Traditionally, traditional Chinese medicine has been used to diagnose and heal Koreans' bodies. Unlike Western medicine, data on our bodies has accumulated over hundreds of years, and scientific medicine that can diagnose and prescribe diseases according to the unique physical characteristics of Koreans. to be. Traditional Chinese medicine has not been widely used differently from Western medicine, so there is a sense of distance to the general public, but recently, as interest in alternative medicine has increased, interest has increased worldwide.

In the United States, more than 30% of Americans experience alternative medicine as of 2012 and more than 40% of hospitals use it for care. In 2014, the company expanded the scope of health insurance for alternative medicine procedures and formed a strategy for complementary alternative medicine in the future.

In the case of China, the government actively supports the modernization and international standardization of Chinese medicine, and the number of Chinese medicine beds is increasing dramatically. Efforts have been made to secure medical residence for certain diseases such as stroke, low back pain, and shoulder pain. I'm leaning.

In Japan, unlike Korea and China, Korea has established a medical care system that integrates traditional medical treatment and prescription. Over 150 oriental prescriptions are being extended to health insurance benefits and 900 Chinese herbal medicines are on the market.

The number of oriental hospitals has increased by more than 10% from 2011 to 2017, and the number of oriental medical hospitals is on the rise, with the increase in the number of consumers who seek oriental medical institutions or use health functional foods based on oriental medicine. Claims are also on the rise. In addition, there is a growing number of herbal medicine-based dietary supplements.

However, in order to use professional medical services due to busy living patterns and time and geographical conditions, psychological burden and time and economic costs are required, and it is difficult for workers and people living in the mountains to receive professional medical services.

In order to solve this problem, Korean Laid-Open Patent Publication No. 10-2011-0098286 (2011. 09. 01) discloses a 'self-diagnosis method using herbal purge technique'. When symptoms are found in a person's body, the symptoms can be easily inferred and diagnosed at home, and they can be treated early by suggesting folk remedies for the disease. will be.

However, the self-diagnostic method as described above classifies symptoms, derives diseases, and presents folk remedies by fuzzy inference based on user queries. The reasoning may vary according to the result of responding to the user's query, it is difficult to make a scientific diagnosis, and there may be a problem in reliability because it suggests folk medicine by diagnosing a simple classified disease.

Korean Patent Publication No. 10-2011-0098286 (2011. 09. 01)

It is a first object of the present invention to provide a herbal diagnostic prescription service system and method.

A second object of the present invention is to provide a herbal health coordinator service system and method.

A third object of the present invention is to provide an ontology information system system and method of herbal data.

A fourth object of the present invention is to provide a Chinese medicine clinical data collection and deep learning based data analysis system.

To provide a herbal data ontology information system collection system for achieving the fifth object of the present invention.

A sixth object of the present invention is to provide a herbal diagnostic prescription and health coordinator service system and method.

Oriental medicine diagnostic system for achieving the first object of the present invention,

Oriental medical knowledge information database which systematically stores clinical data, oriental medical knowledge information data and health data,

Oriental Medicine Ontology Information System System for diagnosing user's or patient's condition and inferring prescription information by Oriental Medicine Ontology Information System by matching the information of Oriental Knowledge Information database with diagnosis information through user or patient ,

An oriental medicine machine learning system that infers diagnosis, prescription, and health information by analyzing oriental medical data and deep learning based on the information of the herbal knowledge information database and historical information of a user or patient;

Oriental medicine diagnosis that provides user interface with general users, patients and oriental medical doctors, infers diagnosis and prescription through the oriental medicine ontology information system system and oriental medicine machine learning system, and provides diagnostic prescription service, semantic search service and dialectic reasoning service. It is characterized by including a prescription system.

Herbal diagnostic method for achieving the first object of the present invention,

The user interface is made through the oriental diagnostic prescription service system, and the oriental medical doctor inputs the patient's diagnostic information (including the questionnaire, the diagnostic information through the diagnosis device, the diagnosis and pulse information) through the questionnaire with the patient, and the oriental medical diagnosis. Performing diagnostic prescription inference using an ontology system and a machine learning system in a prescription system; A dialectic and prescription inference based on symptoms, and outputting the inferred dialectic and prescription to a medical doctor through an oriental diagnosis and prescription service system; The oriental medicine doctor combines the inferred dialectic and prescription with the doctor's diagnosis to determine the diagnosis and prescription, characterized in that to provide a herbal diagnostic prescription service comprising the step of providing a prescription to the patient.

Herbal health coordinator system for achieving the second object of the present invention,

Oriental medical knowledge information database which systematically stores clinical data, oriental medical knowledge information data and health data,

Oriental Medicine Ontology Information System System for diagnosing user's or patient's condition and inferring prescription information by Oriental Medicine Ontology Information System by matching the information of Oriental Knowledge Information database with diagnosis information through user or patient ,

An oriental medicine machine learning system that infers diagnosis, prescription, and health information by analyzing oriental medical data and deep learning based on the information of the herbal knowledge information database and historical information of a user or patient;

It provides a user interface with general users, patients, and oriental medical doctors, and infers a diagnosis prescription through the oriental medicine ontology information system system and the oriental medicine machine learning system, and provides self-diagnostic service, customized hospital recommendation service, oriental medicine health information service, and personalized medicine. Characterized in that it comprises a herbal health coordinator system that provides a health heart referral service.

Oriental medical data ontology information system for achieving the third object of the present invention,

An ontology information system engine that collects oriental medicine-based knowledge information, clinical data-based knowledge information, and LOD cloud data (link open data) and converts them into ontology information systems by collecting and analyzing other knowledge information managers on the expertise of oriental medicine. and,

A knowledge base that systematically stores and manages knowledge information resources converted from ontology information system to ontology information system into food, medicine, condition, symptom and prescription information, and oriental medicine ontology analysis using the knowledge base information. System, and using the knowledge base information by injecting user information to infer the diagnosis and prescription, characterized in that it comprises a medical prescription ontology inference engine that provides information to the diagnostic prescription system and the health coordinator system.

Oriental medical clinical data collection and deep learning based data analysis system for achieving the fourth object of the present invention,

The clinical data and user log health information are collected and stored in the database of the Chinese medicine clinical data collection system, the running data set is selected and purified from the database, and based on the expertise of the Chinese medicine in the Chinese medicine data analysis system. Analyzes the data, and deep learning based reasoning engine performs deep learning based reasoning using the information of the database and provides it to the diagnostic prescription system and the health coordinator system to provide a service to the general doctor or patient general user, respectively. .

Herbal data ontology information system collection system for achieving the fifth object of the present invention,

The doctor and the doctor input the symptom and prescription information by the Q & A with the patient using the preliminary care and the medical treatment information of the oriental hospital. In addition, in the case of self-diagnosis using the application, the user log and health information is input through the application in response to the questionnaire. In the dozens of granular data system, the oriental medicine doctor receives the symptom and prescription information according to the examination of the patient, the user log and the health information of the application, and the data collection engine receives the symptom data, the prescription data, the health and log data, respectively. And collecting the data by storing them in a database as label training data and machine learning data.

Herbal diagnostic prescription and health coordinator service system and method for achieving the sixth object of the present invention,

A knowledge information resource database including clinical data, health information, diagnostic device information, tests and questionnaires, oriental medical knowledge database, and healthcare and functional health food information;

Based on the information in the knowledge and information resource database, a complex inference using the oriental medicine ontology inference engine that infers diagnosis and prescription, and the oriental medicine machine learning engine that infers diagnosis and prescription based on deep learning by analyzing oriental medicine data Artificial intelligence artificial intelligence reasoning system;

An oriental diagnostic prescription system for performing oriental diagnostic prescription inference using ontology based inference and deep learning based inference information by the artificial intelligence inference system;

An oriental diagnostic prescription service system providing diagnostic and inference information of the oriental diagnostic prescription system to a oriental medical doctor, the diagnostic prescription service of a oriental medical doctor using the information, and a semantic search service and dialectic inference service;

An oriental health coordinator for generating health coordinating through a personalized recommendation engine, an intelligent self-diagnostic reasoning engine, and health information search and management engine using ontology based reasoning and deep learning based reasoning information by the artificial intelligence reasoning system;

Based on the health coordinating information of the herbal health coordinator further comprises a personalized health food recommendation service, self-diagnosis service, oriental medicine health information service, and a health service system for providing a personalized hospital recommendation service to patients and general users It is characterized by.

As described above, the present invention enables accurate and scientific herbal medicine diagnosis and prescription through information on the basis of ontology-based inference and deep learning-based reasoning and the diagnosis of oriental medicine, and improves the reliability of the patient.

The present invention can provide self-diagnostic service, personalized hospital service, and personalized health food information service by inputting self-diagnosis and health information by ontology-based reasoning and deep learning-based reasoning.

The present invention, by using the ontology information management and ontology inference by clinical information and survey questionnaire system to the Oriental Medicine ontology information system, it is possible to provide accurate herbal diagnostic prescription inference and health coordinator service compared to simple statistics or simple inference method do.

The present invention collects data in text form, analyzes and classifies data, generates ontology objects, and collects data in ontology information system in a manner of establishing interrelationship.

The present invention can increase the accuracy of the Chinese self-diagnosis service, can improve the accuracy of the customized personalized recommendation service, can improve the accuracy of the Chinese diagnostic prescription service, and can increase the accuracy of the Chinese dialectic inference service.

1 is a conceptual diagram of an artificial intelligence-based herbal diagnostic prescription system according to the present invention.
Figure 2 is a schematic diagram of the artificial intelligence based herbal diagnostic prescription system according to the present invention.
Figure 3 is a block diagram of an artificial intelligence herbal diagnostic prescription system according to the present invention.
4 is a block diagram of a herbal health coordinator system according to the present invention.
5 is a block diagram of the oriental medicine ontology information system system according to the present invention.
6 is a conceptual diagram of the ontology system by the data collection, analysis and classification work according to the present invention.
Figure 7 is an explanatory diagram of the ontology information system of oriental medicine knowledge information resources according to the present invention.
8 is a view illustrating the oriental medicine ontology class design and rescue automation system according to the present invention
9 is a block diagram of an ontology information system system according to the present invention.
Figure 10 is an illustration of a diagnostic prescription service by the oriental diagnostic prescription system applying the oriental medicine ontology information system according to the present invention.
11 is an inference engine implementation explanatory diagram of the oriental medical clinical data collection and data analysis system according to the present invention.
12 is an explanatory diagram of the collection of clinical medical data according to the present invention.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram of an artificial intelligence-based herbal diagnostic prescription system according to the present invention, Figure 2 is a schematic diagram of an artificial intelligence-based herbal diagnostic prescription system according to the present invention.

Artificial intelligence inference system including knowledge information resource database (100), oriental medicine ontonridge inference engine (200) and oriental medicine machine learning engine (300), herbal diagnostic prescription system (400), herbal health coordinator (500) It is configured to include a medical diagnosis prescription service system 600, and a health service system 700.

The present invention is to increase the added value by converting the classical ecosystem of traditional Chinese medicine into a virtuous cycle. By collecting information knowledge resources in oriental medicine, clinical data, expertise data of oriental medicine, health data, and the like are built into the knowledge information resource database 100.

Construct the knowledge information resource database 100 related to oriental medicine, construct the ontology inference engine 200 so that the information can be processed by the ontology information system, and analyze and recommend using deep learning techniques using oriental medicine information resources. The Chinese medicine treadmill engine 300 for generating information is constructed. That is, the ontology inference engine 200 for the ontology information systemization as the AI inference system and the oriental medicine treadmill engine 300 for generating recommendation information by deep learning are constructed.

The oriental diagnostic prescription system 400 receives the questionnaire information by the question and answer with the patient and the measurement information using the diagnostic device, and receives the knowledge information resource by the ontology inference engine 200 and the oriental medicine machine learning engine 300. Corresponding to the information of the database 100, the analysis and diagnostic inference is generated to receive the recommended information is received. As such, the diagnosis and prescription information generated by inference using the ontology inference engine 200 and the oriental medicine machine learning engine 300 is presented, and the oriental medicine doctor diagnoses and prescribes the system.

The herbal diagnostic prescription system 400 provides a user interface using the herbal diagnostic prescription service system 600, and inputs the Q & A with the patient and measurement information of the diagnostic apparatus through the herbal diagnostic prescription service system 600. Can provide semantic search services, and can provide dialectical inference services.

Therefore, with the help of artificial intelligence (AI), more scientific and precise diagnosis and treatment are possible, and more systematic herbal treatment can improve customer reliability.

On the other hand, the present invention can provide a herbal health coordinator system. The health coordinator system uses information analyzed and inferred by the ontology engine 200 and the machine learning engine 300 using the information of the knowledge information resource database 100 of FIGS. 1 and 2. The herbal health coordinator system 400 is established, and through the herbal health service system 700 to interface with general users and health food companies or herbal hospitals to provide services.

The herbal health coordinator system may provide a self-diagnostic service, a personalized oriental medicine / clinic recommendation service, a personalized healthy food recommendation service, and a oriental medical health information service. Self-diagnosis can recommend cases similar to me and the best practice for me. This can provide a self-diagnosis recommendation service by the ontology engine and the machine running engine using data registered in the knowledge information resource database and user information input for self-diagnosis. It is possible to create a profit model by using it for marketing of oriental hospitals and health functional food companies by using customized herbal disease / clinic recommendation, health functional food recommendation, and oriental medicine health information provision.

The present invention requires the construction of a Korean medicine ontology, symptom, medicine, prescription knowledge-based data collection and ontology information system, query set derivation and system structure and oriental medicine ontology inference engine,

As an ontology advancement of Korean medicine, it extends to multiple ontology-based reasoning engine using LOD and integrates with machine learning system.

The oriental medical clinical data collection provides a data gathering engine to collect the oriental medical data distributed in different locations as data in a format tailored to the ontology.

The oriental medical data analysis of the machine learning engine, analysis of patient symptoms, prescription data distribution and cluster identification, extraction of significant features using traditional machine learning techniques, and development of algorithms and diagnostic systems for diagnostic prescription systems using the deep learning based inference engine Provide a reasoning engine for the health coordinator system. Build a deep learning API server (Django RESTful Framework).

It provides oriental medicine ontology information system, oriental medicine machine learning system integrated diagnostic prescription algorithm and inference engine, and provides oriental medicine prescription service, diagnostic prescription service, semantic search service and dialectic inference service.

As a health coordinator engine, Oriental Medicine Ontology, machine learning-based intelligent self-diagnosis inference engine, customized recommendation engine and health information search and management engine, and as a health service, self-diagnosis service, oriental medicine health information service, customized hospital recommendation service, customized health food recommendation service To provide.

3 is a block diagram of an artificial intelligence herbal diagnostic prescription system according to the present invention.

Chinese medicine knowledge information database 100 which systematically stores clinical data, oriental medicine knowledge information data, and health data, information of the oriental medicine knowledge information database 100, diagnosis by user or patient questionnaire information and devices The information on the oriental medicine ontology information system system 200 and the information on the oriental medicine knowledge information database 100 and the information on the user and patient of the patient and the patient are diagnosed and the prescription information is inferred by the information on the oriental medicine ontology information system. It provides a Chinese medicine machine learning system 300 that infers diagnosis, prescription and health information by analyzing medical data and deep learning-based inference using history information, and provides a user interface with general users, patients, and oriental medical doctors. Diagnosis and prescription inference through information system system 200 and oriental medicine machine learning system 300 It is configured to include a one shot diagnosis prescription system 400 that provides services, and a semantic search service and dialectic reasoning services.

4 is a block diagram of a herbal health coordinator system according to the present invention.

Chinese medicine knowledge information database 100 which systematically stores clinical data, oriental medicine knowledge information data, and health data, information of the oriental medicine knowledge information database 100, diagnosis by user or patient questionnaire information and devices The information on the oriental medicine ontology information system system 200 and the information on the oriental medicine knowledge information database 100 and the information on the user and patient of the patient and the patient are diagnosed and the prescription information is inferred by the information on the oriental medicine ontology information system. It provides a Chinese medicine machine learning system 300 that infers diagnosis, prescription and health information by analyzing medical data and deep learning-based inference using history information, and provides a user interface with general users, patients, and oriental medical doctors. Self-diagnosis by inferring diagnosis prescription through information system system 200 and oriental medicine machine learning system 300 And a herbal health coordinator system 500 that provides services, personalized hospital recommendation services, oriental medical health information services, and personalized healthy heart recommendation services.

5 is a block diagram of a system for oriental medicine ontology information system according to the present invention.

An ontology information system engine that collects oriental medicine-based knowledge information, clinical data-based knowledge information, and LOD cloud data (link open data) and converts them into ontology information systems by collecting and analyzing other knowledge information managers on the expertise of oriental medicine. And a knowledge base configured to store and manage knowledge information resources converted from the ontology information system into an ontology information system by food, medicine, condition, symptom, and prescription information, and to analyze oriental medicine ontology using the knowledge base information. Chinese medicine ontology system, and using the knowledge base information by incorporating user information to infer diagnosis and prescription, the diagnostic prescription system, and the Korean medicine ontology inference engine that provides information to the health coordinator system.

6 is a conceptual diagram illustrating the ontology system by data collection, analysis and classification according to the present invention.

It collects and classifies data on symptoms, prescriptions, and medicines from oriental medicine-based knowledge information, clinical data-based knowledge information, and LOD cloud data (link open data). We then classify oriental medical data on conditions, medications, and prescriptions, and construct a mutual relationship. Ontology objects are created based on the classified data, and the relationships between the objects are set. For example, create an ontology object called 'symptom', 'age', 'site', 'path', 'prescription', and 'medicine', and the symptom is related to the condition and site age, and the condition prescribes the symptom. The prescription establishes a relationship with the pathogen. That is, when symptoms are detected, age and site disease are searched in association with each other. In addition, when the disease is detected, the symptoms and prescriptions are related to the search.

7 is an explanatory diagram of ontology information systemization of oriental medical knowledge information resources according to the present invention.

Collecting text-based data and converting it into ontology information system as shown in FIG. 6, converting it into a formalized curry-based XML format data, parsing and interpreting an XML-type query condition instance and constructing a data with a query model to construct oriental medicine data Create a database as a repository.

8 is an oriental medicine ontology class design and rescue automation system according to the present invention.

The oriental medicine ontology inference system according to the present invention can be applied only when the oriental medical data is collected and converted into an ontology information system.

It classifies and sets text-based data into ontology information system, defines data identity and keywords in XML format, and classifies keywords and specifies keyword mapping and relationship (attributes) to automatically rescue them on ontology. Includes two axis automation modules. Keyword classification classifies the defined keywords by designing a class according to the keyword relationship diagram, and specifies the mapping and relationship of the classified keywords. Thus, keyword mapping and related designated data are stored and managed as knowledge base data about food, medicine, dialectic, symptom and prescription by the construction automation module. In other words, it is possible to design the oriental medicine ontology class and use it to automate the construction.

9 is a configuration diagram of an ontology information system system according to the present invention.

Oriental Medicine Ontology System, which is an ontology manager that generates inference processing and reports using the data relationship structure of ontology knowledge base,

Receives a query response through a user interface through a diagnostic prescription system and a health coordinator system, converts it into query set information, retrieves the query set information through a semantic search engine, and delivers it to the knowledge base, and inference of the Korean medicine ontology system. It consists of a Korean medicine ontology inference engine that receives the report according to the ontology instance through the knowledge base and delivers the diagnosis and prescription inference information to the diagnosis prescription system and the health coordinator system.

Figure 10 is an illustration of a diagnostic prescription service by the oriental diagnostic prescription system applying the oriental medicine ontology information system according to the present invention.

First of all, the user interface is made through the oriental diagnostic prescription service system, and the oriental medical doctor inputs the patient's diagnosis information through an interview with the patient. This includes questionnaires, diagnostic information, diagnosis and pulse information through diagnostic devices. The oriental diagnostic prescription system uses the ontology system and the machine learning system to perform diagnostic prescription inference. Diagnosis and prescription inference through symptom, and deduced dialectic and prescription are output to oriental doctor through oriental diagnosis and prescription service system. The physician may combine the inferred dialectic and prescription with the doctor's diagnosis to determine the diagnosis and prescription, and provide the patient with a prescription. That is, the present invention can provide a oriental medicine prescription service by applying the oriental medicine ontology information system.

11 is an explanatory view of the inference engine implementation of the oriental medical clinical data collection and data analysis system according to the present invention.

The clinical data and user log health information are collected and stored in the database of the Chinese medicine clinical data collection system, the running data set is selected and purified from the database, and based on the expertise of the Chinese medicine in the Chinese medicine data analysis system. Data is analyzed, and deep learning-based inference engines perform deep learning-based inferences using the information from the database and provide them to the diagnostic prescription system and the health coordinator system, so that they can provide services to the general doctor or patient general user.

12 is an explanatory diagram of the collection of clinical medical data according to the present invention.

It is to collect user health information, patient symptoms and doctor prescription data for deep learning based inference engine and oriental medical data analysis system.

The doctor and the doctor input the symptom and prescription information by the Q & A with the patient using the preliminary care and the medical treatment information of the oriental hospital. In addition, in the case of self-diagnosis using the application, the user log and health information is input through the application in response to the questionnaire. In the dozens of granular data system, the oriental medicine doctor receives the symptom and prescription information according to the examination of the patient, the user log and the health information of the application, and the data collection engine receives the symptom data, the prescription data, the health and log data, respectively. The data is collected and stored in a database as label training data and machine learning data to complete data collection.

The data collected as described above may provide data relationship analysis using traditional machine learning and statistical techniques, extract features, and provide a highly reliable feature data base for deep learning based inference engines.

It can provide diagnostics for deep learning models, self-diagnostic learning, and high level of inference results, and can improve system performance by user evaluation of deep learning model predictions and feedback processes. have.

As described above, the present invention can provide an ontology-based herbal diagnostic prescription and a health coordinator service, and the data collection device collects data by ontology-based information system for constructing a knowledge database for collecting herbal data. . In addition, the oriental diagnostic prescription system may perform ontology-based inference and deep learning-based inference of the patient's diagnostic information by using an on-together system and a deep learning system, and the oriental medicine may provide a diagnosis and prescription service by using the same. . In addition, the oriental medicine coordinator system receives the user's self-diagnostic information, generates ontology-based reasoning and deep learning-based reasoning, provides it as self-diagnostic information, and provides health information including recommended herbal hospitals and recommended health food information. can do.

100: Knowledge Information Resource Database
200: Oriental Medicine Ontology Information System System
300: Oriental Medicine Machine Learning System
400: Oriental Medicine Prescription System
500: Herbal Health Coordinator System
600: Oriental Medicine Prescription Service System
700: Herbal Health Service System

Claims (1)

An ontology information system engine that collects oriental medicine-based knowledge information, clinical data-based knowledge information, and LOD cloud data (link open data) and converts them into ontology information systems by collecting and analyzing other knowledge information managers on the expertise of oriental medicine. and,
A knowledge base that systematically stores and manages knowledge information resources converted from the ontology information system engine into an ontology information system into food, medicine, condition, symptom and prescription information, and oriental medicine ontology analysis using the knowledge base information. A Chinese medicine ontology inference engine providing information to the diagnosis prescription system and the health coordinator system by inferring diagnosis and prescription by substituting user information using the system and the knowledge base information;
Ontology information system construction system of herbal data, characterized in that configured to include.

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