Construction of an Intelligent Diagnosis and Treatment Ontology for Traditional Chinese Medicine Based on Clinical Practice Guidelines：A Case Study of Coronary Heart Disease
10.13422/j.cnki.syfjx.20240299
- VernacularTitle:基于临床实践指南构建中医智能化诊疗本体
- Author:
Xiaohui SONG
1
;
Huamin ZHANG
1
;
Zhuang GUO
1
;
Jiyao YIN
1
;
Menghan LIU
1
;
Juan ZHANG
1
;
Qikai NIU
2
;
Junwen WANG
1
Author Information
1. Institute of Basic Theory for Chinese Medicine，China Academy of Chinese Medical Sciences，Beijing 100700，China
2. Institute of Chinese Materia Medica，China Academy of Chinese Medical Sciences，Beijing 100700，China
- Publication Type:Journal Article
- Keywords:
ontology;
traditional Chinese medicine clinical practice guidelines;
knowledge graph;
coronary heart disease
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2024;30(24):243-249
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo support intelligent clinical decision-making in traditional Chinese medicine（TCM）， this study utilized ontology and knowledge graph construction techniques to achieve the IT application of clinical practice guidelines. MethodBased on the principles of findability， accessibility， interoperability， and reusability （FAIR principles）， this study employed ontology techniques to construct an ontology for TCM clinical practice guidelines and built a knowledge graph using coronary heart disease as an example. Based on the Checklist for Reporting Practice Guidelines in Traditional Chinese Medicine and Recommendation Grading in TCM Clinical Guidelines/Consensus （T/CAS 530—2021），the ontology of TCM clinical practice guidelines was constructed using the seven-step ontology construction method. On this basis，the TCM diagnosis and treatment data from the Guidelines for the Diagnosis and Treatment of Stable Angina Pectoris in Coronary Heart Disease were stored in Neo4j in the form of triples through knowledge extraction，integration，and storage. ResultThe information in the clinical practice guidelines was divided into three categories： onset and prevention information， diagnosis information， and treatment information， and the TCM clinical practice guideline ontology was constructed. A total of 27 concepts related to TCM clinical diagnosis and treatment and 14 data attributes were obtained， and 12 conceptual relationships including hierarchical relationships and object attributes were established. By taking coronary heart disease as an example and the TCM clinical practice guideline ontology as the model layer， the knowledge map of TCM diagnosis and treatment guidelines for stable angina pectoris in coronary heart disease with 276 nodes and 336 relationships was constructed， realizing the visual display and query of the guideline content. ConclusionThe ontology of TCM clinical practice guidelines and the knowledge graph of stable angina pectoris in coronary heart disease constructed by combining the seven-step ontology construction method and Neo4j graph database technology are efficient and flexible，providing an intelligent TCM diagnosis and treatment scheme and promoting the standardization and objectification of TCM diagnosis and treatment.
