منابع مشابه
ROC Curve
It would be nice for both the woman and family and the attending obstetrician to anticipate a cesarean delivery on the basis of patient characteristics. The traditional method is to compute Bishop score based on dilatation, effacement, consistency and position. Other parameters that influence the success of induction of labor are maternal age, parity, BMI and amniotic fluid index. A study was c...
متن کاملEfficient AUC Learning Curve Calculation
A learning curve of a performance measure provides a graphical method with many benefits for judging classifier properties. The area under the ROC curve (AUC) is a useful and increasingly popular performance measure. In this paper, we consider the computational aspects of calculating AUC learning curves. A new method is provided for incrementally updating exact AUC curves and for calculating ap...
متن کاملA modified Wald interval for the area under the ROC curve (AUC) in diagnostic case-control studies
BACKGROUND The area under the receiver operating characteristic (ROC) curve, referred to as the AUC, is an appropriate measure for describing the overall accuracy of a diagnostic test or a biomarker in early phase trials without having to choose a threshold. There are many approaches for estimating the confidence interval for the AUC. However, all are relatively complicated to implement. Furthe...
متن کاملBayesian nonparametric approaches for ROC curve inference
Abstract The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy of such tests. We review Bayesian nonparametric methods based on Dirichlet process mixtures and the Bayesian bootstrap for ROC curve estimation and regression. The me...
متن کاملAdjusting the generalized ROC curve for covariates.
Receiver operating characteristic (ROC) curves and in particular the area under the curve (AUC), are widely used to examine the effectiveness of diagnostic markers. Diagnostic markers and their corresponding ROC curves can be strongly influenced by covariate variables. When several diagnostic markers are available, they can be combined by a best linear combination such that the area under the R...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2015
ISSN: 1598-9402
DOI: 10.7465/jkdi.2015.26.6.1367