Approaches to the mining of traditional Chinese medical experts'case histories using machine learning techniques
XIA Xin
MU Wei
LI Yanfen
HUANG Yuhong
Abstract：As a model for solving clinical challenges,renowned medical cases have affirmed the correctness of diagnostic and treatment approaches as well as the effectiveness of practical outcomes through long-term clinical practice.However,traditional statistical methods struggle to comprehensively and deeply unveil the speculative system and empirical logic of traditional Chinese medicine(TCM),especially when confronted with its nonlinear,multidimensional,and complex relationships.In contrast,machine learning methods demonstrate significant advantages in addressing such issues and have been widely applied in the study and inheritance of TCM.This article aims to discuss how to use machine learning algorithms to study TCM medical cases,and to describe the acquisition and processing of TCM medical case data and the selection of machine learning algorithms,with a view to providing references for the study of TCM medical cases.
Keywords：Traditional Chinese medicineCase historiesData miningMachine learning
Publication Date：2024-04-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 448-457 )