Zhu Y X, Li Y, Wu S T, Liu W D, Song R R, Li W, Wang Y
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.
Zhonghua Yu Fang Yi Xue Za Zhi. 2022 Sep 6;56(9):1341-1347. doi: 10.3760/cma.j.cn112150-20220104-00007.
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.
本研究回顾了受试者工作特征（ROC）曲线和精确率召回率（PR）曲线的概念及特性，并结合模拟数据结果，基于患病率对两条曲线的应用提出了建议。本研究表明，ROC曲线和PR曲线具有不同特性，可从多个方面反映诊断方法的性能。应结合患病率和临床场景来选择这两条曲线。当患病率小于20%，尤其是小于5%时，可采用PR曲线。
