Y Wang

Chinese Academy of Medical Sciences & Peking Union Medical College

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Y Li

Shanghai East Hospital

W D Liu

Chinese Academy of Medical Sciences & Peking Union Medical College

Renjie Song

Zunyi Medical University

Wei Li

Chongqing Medical University

Shijing Wu

Second Affiliated Hospital of Zhejiang University

Ying-Ying Zhu

Chinese Academy of Medical Sciences & Peking Union Medical College

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Chinese Academy of Medical Sciences & Peking Union Medical College

Peking Union Medical College Hospital

Shanghai East Hospital

University of Electronic Science and Technology of China

Tongji Hospital

Huazhong University of Science and Technology

Sichuan University

State Key Laboratory of Biotherapy

Jilin Medical University

Jilin University

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

PubMed (2022)

Ying-Ying Zhu Y Li Shijing Wu W D Liu Renjie Song

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。.

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10.3760/cma.j.cn112150-20220104-00007

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