现代中医临床2024，Vol.31Issue(3)：21-27,7.DOI:10.3969/j.issn.2095-6606.2024.03.004
中医临床预测模型研究现状及方法进展
Research status and method advances of clinical prediction models for traditional Chinese medicine
摘要
Abstract
Clinical prediction models involve the construction of appropriate statistical models using existing clinical data to summarize the probability patterns of specific clinical outcomes.However,their application in the field of traditional Chinese medicine(TCM)remains limited.This paper comprehensively introduces the production process of predictive model research in TCM,covering variable selection(classified into regression analysis and machine learning-based approaches),model construction(including linear regression,logistic regression,Cox regression,and machine learning algorithms such as random forest),model evaluation(metrics like AUC,consistency index,Hosmer-Lemeshow goodness of fit test,calibration curve,DCA decision curve,NRI,and IDI),model validation(internal and external validation),and model visualization.It aims to provide insights into the feasibility and potential of applying prediction models in the TCM field.关键词
中医/预测模型/变量筛选/模型构建/模型评价/模型验证Key words
TCM/prediction model/variable selection/model construction/model evaluation/model validation分类
医药卫生引用本文复制引用
施泽阳,王禹毅,孙源,卜志军,刘龙坤,刘建平,刘兆兰..中医临床预测模型研究现状及方法进展[J].现代中医临床,2024,31(3):21-27,7.基金项目
国家自然科学基金项目(No.82374298) （No.82374298）
北京中医药大学学科后备带头人支持计划(No.90010960920033) （No.90010960920033）
国家中医药管理局高水平中医药重点学科建设项目(No.zyyzdxk-2023249) （No.zyyzdxk-2023249）
