世界科学技术-中医药现代化2025，Vol.27Issue(11)：3157-3171,15.DOI:10.11842/wst.20250108008
基于AI"宏-微"观结合的证候多维诊断研究路径——以非酒精性脂肪性肝病为例
A Multi-dimensional Diagnostic Research Path for Syndromes Based on the Combination of AI"Macro micro"Perspectives:A Case Study of Non-alcoholic Fatty Liver Disease
摘要
Abstract
With the advancement of modern research methods,machine learning(ML)algorithms have been widely applied in traditional Chinese medicine(TCM)diagnosis,transforming subjective syndrome differentiation into a more objective process,thereby providing a feasible pathway for the objectification and quantification of TCM diagnostics.However,challenges persist,including the dual"black-box"nature of disease-syndrome models(lacking interpretability),missing spatiotemporal dynamic data,and the"disconnect"between clinical phenotyping and molecular biomarker research.Focusing on non-alcoholic fatty liver disease(NAFLD),this study proposes a novel framework guided by the biological"multiple-hit"theory and TCM's"disease-syndrome-symptom-stage"approach,which involves:Constructing a mathematical model of NAFLD progression(simple steatosis→steatohepatitis→fibrosis→cirrhosis)via multi-level(phenotypic-cellular-molecular)network modules;And developing an interpretable multidimensional model integrating syndrome-imaging phenomics(macro)and metabolomics-derived biomarkers(micro)to enable personalized NAFLD diagnosis.关键词
"宏-微"结合/证候/非酒精性脂肪肝/机器学习/可解释性模型Key words
"Macro-micro"integration/Syndrom/Non-alcoholic fatty liver disease/Machine learning/Interpretable model分类
医药卫生引用本文复制引用
何才英,李白雪,陈菊,周航,王东..基于AI"宏-微"观结合的证候多维诊断研究路径——以非酒精性脂肪性肝病为例[J].世界科学技术-中医药现代化,2025,27(11):3157-3171,15.基金项目
国家自然科学基金委员会面上项目(82374314):"miR-223介导的中性粒细胞与巨噬细胞交互对话抑制胞葬作用"致持续性炎症反应态:异病同证视域下脾胃湿热证湿热"胶着"态的生物学机制,负责人:李白雪 （82374314）
国家自然科学基金委员会青年科学基金项目(81804222):基于深度学习的"因位性势"四维中医辨证论治算法模型设计,负责人:陈菊 （81804222）
四川省自然科学基金(24NSFSC1324):基于辛开苦降法从NRF2介导的铁IROS双稳态探讨吴氏泻心汤加减方干预非酒精性脂肪性肝炎的分子机制,负责人:王东. （24NSFSC1324）
