Construct the Evolution Model of Diagnosis and Treatment Experience Based on Time-series Dynamic Perspective
10.11842/wst.20240601005
- VernacularTitle:时序动态视域下的中医古籍诊疗经验传承:病证诊疗经验演变模型设计
- Author:
Tingwei XIA
1
;
Yue YANG
;
Changhong WEI
;
Weihong LI
;
Zhaohui TANG
;
Xiaojia YONG
;
Candong LI
Author Information
1. 成都中医药大学 成都 610075
- Publication Type:Journal Article
- Keywords:
Diagnosis and treatment;
Experience;
Time series;
Event;
Event evolutionary graph
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2025;27(4):1058-1063
- CountryChina
- Language:Chinese
-
Abstract:
The knowledge and experience of medical practitioners in the diagnosis and treatment of diseases throughout history are mostly reflected in the description and analysis of relevant clinical events.The diagnosis and treatment thinking and cognitive reasoning process among the knowledge has dynamic and complex characteristics in time and space.However,the current exploration of ancient doctors' diagnosis and treatment experience of diseases and syndromes is mainly focuses on the academic evolution of the entire historical time line,and lacks the exploration of the concept of time and its medical relevance in ancient books.It mainly focuses on entity knowledge,and lacks the presentation of temporal dynamic cognitive logic.Moreover,the research primarily focuses on the study of specific terms in ancient Chinese medicine books,without fully covering ancient medical events.To address this issue,this research proposes to construct the evolution model of diagnosis and treatment experience based on time-series dynamic perspective:according to the time series of diagnosis and treatment events,it covers the time system module,the"coming disease"module,the"already sick"module,and the"after sick"module,which involves the dynamic risk assessment of disease occurrence by ancient medical practitioners,the grasp of the dynamic evolution of the already sick state and the treatment plan,and the dynamic health plan for the after sick state.
