Exploration of Intelligent Inference Model for Syndrome Differentiations of Traditional Chinese Medicine
10.11842/wst.20231031001
- VernacularTitle:中医智能推理辨证模型探索
- Author:
Qiyu JIANG
1
;
Xiaosheng SUN
;
Bo XIE
;
Guangbo LUO
Author Information
1. 广州中医药大学,广州 510405
- Keywords:
Artificial intelligence;
Syndrome differentiation;
TCM diagnosis;
Inference;
ChatGPT;
Deep learning;
Largelanguage model
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2024;26(6):1644-1653
- CountryChina
- Language:Chinese
-
Abstract:
Although the artificial intelligence diagnosis technology of traditional Chinese medicine(TCM)is constantly developing,the existing intelligent syndrome differentiation models can only output the diagnosis results and cannot display the reasoning process of TCM diagnosis.They do not have the interpretability of TCM diagnostic knowledge and are difficult to truly reflect the process of TCM's syndrome differentiation.This can be a long-standing problem that has puzzled the academic community.This article elaborates on the development process and technical characteristics of intelligent diagnosis in traditional Chinese medicine,explores multiple key technologies and bottlenecks in current research in reasoning of TCM's Syndrome Differentiation,and factors affecting diagnosis.A novel intelligent diagnosis model architecture that can infer and explain the process of TCM'ssyndrome differentiation was proposed,and the implementation process of the model and algorithm was explained,and detailed data instance analysis was conducted.This article will provide new methods for the development of intelligent syndrome differentiation of TCM and open up new research ideas for clinical decision-making assistance of TCM.
