Research progress on clinical efficacy evaluation of traditional Chinese medicine treatment for chronic obstructive pulmonary disease based on causal learning model framework
WEI Wei
WANG Bo-ran
WANG Jia-yun
ZHOU Xue-zhong
Abstract：Traditional Chinese medicine(TCM)offers unique clinical advantages in the treatment of chronic obstructive pulmonary disease(COPD)and is recognized as a research hotspot in the field of TCM,holding important scientific value.Considering the complexity of TCM medication and clinical outcomes in terms of temporal,spatial,and individual dimensions,researchers have explored the application of artificial intelligence causal inference technology to establish clinical efficacy evaluation models in recent years.This study mainly introduces two aspects:the research progress on the correlation between the regularity and clinical efficacy of TCM in treating COPD,and the research progress of causal learning model framework in the medical field.It provides ideas for accurately evaluating the causal relationship between TCM and clinical efficacy,promoting the inheritance and innovation of TCM.
Keywords：artificial intelligencecausal learningchronic obstructive pulmonary diseasetraditional Chinese medicine treatment
Publication Date：2026-03-15
Online Publishing Date：2026-08-14(First online date of this platform, not the publication date of the document)
Pages：4( 461-464 )