Using and Interpreting Diagnostic Tests with Quantitative Results
作者： Suhail A. R. Doi
DOI: 10.1007/978-3-642-37131-8_6
关键词: Artificial intelligence 、 Sensitivity (control systems) 、 Diagnostic test 、 Pattern recognition 、 Plot (graphics) 、 Receiver operating characteristic 、 Point (geometry) 、 Computer science 、 Identification (information)
摘要: Sensitivity and specificity, as defined previously, depend on the cut-off point used to define positive negative test results. To determine best shift that optimizes sensitivity receiver operating characteristic (ROC) curve is often used. This a plot of versus its false-positive rate for all possible points. chapter outlines advantages, use means defining accuracy test, construction well methods identification optimal ROC curve. Meta-analysis diagnostic studies briefly discussed.
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sci-hub.se 参考文章(16)
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