Risk analysis, ideal observers, and receiver operating characteristic curves for tasks that combine detection and estimation
نویسندگان
چکیده
منابع مشابه
Risk assessment and receiver operating characteristic curves.
Risk assessment is now regarded as a necessary competence in psychiatry. The area under the curve (AUC) statistic of the receiver operating characteristic curve is increasingly offered as the main evidence for accuracy of risk assessment instruments. But, even a highly statistically significant AUC is of limited value in clinical practice.
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Assessment of predictive accuracy is a critical aspect of evaluating and comparing models, algorithms or technologies that produce the predictions. In the field of medical diagnosis, receiver operating characteristic (ROC) curves have become the standard tool for this purpose and its use is becoming increasingly common in other fields such as finance, atmospheric science and machine learning. T...
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Receiver operating characteristic curve is a standard method for reporting performance of a system. In this paper we show how to choose the optimal operating point when we are given a receiver operating curve, the prior probabilities, and the economic gain matrix. Unlike earlier methods, we make no assumptions regarding underlying distributions.
متن کاملMixtures of receiver operating characteristic curves.
RATIONALE AND OBJECTIVES Receiver operating characteristic (ROC) curves are ubiquitous in the analysis of imaging metrics as markers of both diagnosis and prognosis. While empirical estimation of ROC curves remains the most popular method, there are several reasons to consider smooth estimates based on a parametric model. MATERIALS AND METHODS A mixture model is considered for modeling the di...
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ژورنال
عنوان ژورنال: Journal of Medical Imaging
سال: 2019
ISSN: 2329-4302
DOI: 10.1117/1.jmi.6.1.015502