- VernacularTitle:慢性萎缩性胃炎数据科学体系的构建与思考
- Author:
Jianhui SUN
1
;
Weichao XU
2
;
Xia ZHANG
1
;
Runxue SUN
2
;
Yanzhe CHEN
2
;
Shaopo WANG
2
;
Yuman WANG
1
;
Zhen LIU
3
;
Yanru DU
2
;
Qian YANG
2
;
Jianming JIANG
1
Author Information
- Publication Type:Journal Article
- Keywords: chronic atrophic gastritis; data science; data acquisition; knowledge expression; knowledge reasoning
- From: Journal of Traditional Chinese Medicine 2024;65(12):1208-1212
- CountryChina
- Language:Chinese
- Abstract: Taking chronic atrophic gastritis (CAG) as an example, the frontier technologies in data science have been introduced into the inheritance, innovation and development of traditional Chinese medicine (TCM), providing reference for conducting real-world clinical research on specialized diseases of TCM. This paper put forward the construction of CAG data science system by elaborating the connotation of data science and its application value in TCM, and discussed the path to build CAG data science system, namely through "data acquisition-knowledge expression-knowledge reasoning" to establish CAG database, knowledge base and develop diagnosis platform differentiating diseases and syndromes. Besides, this paper analyzed the prospects of CAG data science in improving data governance ability and knowledge discovery efficiency, deepening the level of knowledge sharing, promoting interdisciplinary integration, and strengthening the integration process of industry, academia and research.