Evaluating diagnostic tests: The area under the ROC curve and the balance of errors
Evaluating diagnostic tests: The area under the ROC curve and the balance of errors
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DOI：
10.1002/sim.3859
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发表时间：
2010-06-30
影响因子：
2
通讯作者：
Hand, David J.
中科院分区：
文献类型：
--
作者：
Hand, David J.
因为准确诊断是医学的核心，所以能够评估诊断测试的有效性是很重要的。人们使用了多种准确性衡量指标。其中一种应用特别广泛的指标是AUC，即受试者工作特征（ROC）曲线下面积。在比较交叉的ROC曲线时，该指标有一个众所周知的缺陷。然而，它还有一个更根本的缺陷，即无法有效地平衡不同类型的误诊。这不仅仅是在选择性能衡量指标时不可避免的随意性的一个方面，而且是AUC定义方式的一个核心特性。本文对这一特性进行了探讨，并介绍了一种替代指标——H指标。版权所有（C）2010约翰威立父子有限公司
Because accurate diagnosis lies at the heart of medicine, it is important to be able to evaluate the effectiveness of diagnostic tests. A variety of accuracy measures are used. One particularly widely used measure is the AUC, the area under the receiver operating characteristic (ROC) curve. This measure has a well-understood weakness when comparing ROC curves which cross. However, it also has the more fundamental weakness of failing to balance different kinds of misdiagnoses effectively. This is not merely an aspect of the inevitable arbitrariness in choosing a performance measure, but is a core property of the way the AUC is defined. This property is explored, and an alternative, the H measure, is described. Copyright (C) 2010 John Wiley & Sons, Ltd.