Evidence Based Emergency Medicine; Part 5 Receiver Operating Curve and Area under the Curve
Evidence Based Emergency Medicine; Part 5 Receiver Operating Curve and Area under the Curve
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循证急诊医学；
DOI：
10.22037/aaem.v4i2.232.g232
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Ahmed Negida
中科院分区：
文献类型：
--
作者：
Saeed Safari;Alireza Baratloo;Mohamed Elfil;Ahmed Negida
急诊医生每天都要使用多种诊断工具。此外，还对新工具进行了评估，以获得更精确的方法，并减少传统方法的时间或成本。在本教育系列的前几部分中，我们描述了诊断测试的诊断性能特征，包括敏感性、特异性、阳性和阴性预测值以及似然比。受试者工作特征（ROC）曲线是筛选特征的图形表示。ROC曲线通过测量曲线下面积（AUC）来确定最佳截断点，并比较两个或多个试验或观察者。在我们的教育系列的这一部分，我们解释ROC曲线和确定最佳截止值的两种方法。
Multiple diagnostic tools are used by emergency physicians, every day. In addition, new tools are evaluated to obtain more accurate methods and reduce time or cost of conventional ones. In the previous parts of this educational series, we described diagnostic performance characteristics of diagnostic tests including sensitivity, specificity, positive and negative predictive values, and likelihood ratios. The receiver operating characteristics (ROC) curve is a graphical presentation of screening characteristics. ROC curve is used to determine the best cutoff point and compare two or more tests or observers by measuring the area under the curve (AUC). In this part of our educational series, we explain ROC curve and two methods to determine the best cutoff value.