Exploration of Intelligent Inference Model for Syndrome Differentiations of Traditional Chinese Medicine
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.
Artificial intelligenceSyndrome differentiationTCM diagnosisInferenceChatGPTDeep learningLargelanguage model
NETL
NSTL
万方数据
