Martínez Pérez J A, Pérez Martin P S
Miembro de la Comisión Nacional de Calidad de SEMERGEN, Madrid, España.
Médico de familia, Centro de Salud Palma Norte, Madrid, España.
Semergen. 2023 Jan-Feb;49(1):101821. doi: 10.1016/j.semerg.2022.101821. Epub 2022 Sep 22.
The ROC curve is a statistical tool used to evaluate the discriminative capacity of a dichotomous diagnostic test. These are curves in which sensitivity is presented as a function of false positives (complementary to specificity) for different cut-off points. They are useful for choosing the most appropriate cut-off point for a test, knowing its overall performance and comparing the discriminative capacity of 2 or more diagnostic tests.
ROC曲线是一种用于评估二分诊断测试鉴别能力的统计工具。这些曲线中，敏感性是针对不同临界点的假阳性（特异性的互补指标）的函数。它们有助于为一项测试选择最合适的临界点，了解其整体性能，并比较两种或更多诊断测试的鉴别能力。
