ROC Curves (Receiver Operating Characteristic) are remarkably useful in medical decision-making. Given a common measurable characteristic, with a continuous output in all the beings of a group, ROC curves determine a threshold on the values of the characteristic, which tries to predict the classification of beings into discrete classes. In the Facultad de Informática of Valencia (Spain), we hav...

OBJECTIVE To identify birth weight cutoffs to predict overweight in school children and adolescents from Chilpancingo, Mexico, in 2004. METHODS Six hundred and sixty-two male and female children between 5 and 13 years old were selected by probability sampling. Birth weight measures were extracted from vaccination cards. The school children's nutritional status was defined using specific body ...

A novel method for receiver operating characteristic (ROC) curve analysis and anomaly detection is proposed. The ROC curve provides a measure of effectiveness for binary classification problems, and this paper specifically addresses unbalanced, unsupervised, binary classification problems. Furthermore, this work explores techniques in fusing decision values from classifiers and using ROC curves...

Shane T. Mueller university of michigan at ann arbor† In the signal detection paradigm, the non-parametric index of sensitivity A′, as first introduced by Pollack and Norman (1964), is a popular alternative to the more traditional d ′ measure of sensitivity. Smith (1995) clarified a confusion about the interpretation of A′ in relation to the area beneath proper receiver operating characteristic...