ROC曲线和PR曲线在临床诊断试验评估中的应用  

Application of ROC and PR curves in the evaluation of clinical diagnostic testing

作　　者：朱映璇 李杨[1] 吴疏桐 刘炜达 宋若齐 李卫[1] 王杨[1] Zhu Yingxuan;Li Yang;Wu Shutong;Liu Weida;Song Ruoqi;Li Wei;Wang Yang(Medical Research and Biometrics Center,Fuwai Hospital,National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100037,China)

机构地区：[1]中国医学科学院北京协和医学院国家心血管病中心阜外医院医学统计部,北京100037

出　　处：《中华预防医学杂志》2022年第9期1341-1347,共7页Chinese Journal of Preventive Medicine

摘　　要：本研究对受试者特征工作(ROC)曲线和查准率-查全(PR)曲线的概念和性质进行概括回顾, 结合模拟数据结果, 基于患病率对ROC曲线和PR曲线的应用做出建议。研究显示, ROC曲线和PR曲线具有不同的性质, 可以从不同的侧面反映诊断方法的性能, 应结合患病率和临床场景进行选择。当患病率小于20%, 尤其是小于5%时, 应重视PR曲线的应用。This study reviewed the concepts and properties of the receiver operating characteristic(ROC)curve and precision recall(PR)curve,and made suggestions on the application of two curves based on the prevalence in combination with the results of simulation data.This study demonstrated that the ROC curve and PR curve had different properties,which could reflect the performance of diagnostic methods from various aspects.These two curves should be selected with a consideration of prevalence and clinical scenarios.When the prevalence was less than 20%,especially less than 5%,the PR curve could be adopted.

关 键 词：受试者工作特征曲线 查准率-查全率曲线 诊断试验评价 

分 类 号：R446[医药卫生—诊断学]