Understanding receiver operating characteristic (ROC) curves.

By Jerome Fan, S. Upadhye, A. Worster. CJEM, 2006

761 citations recorded by the source corpus.

Subfields: Emergency Medicine, Epidemiology, Neurology

View Paper: https://www.semanticscholar.org/paper/b988da6ae754e210653d8cb234711dbc226453cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Emergency Medicine

1. B. E. Owusu
2. P. Tongkumchum
3. Suhaimee Buya

In Epidemiology

1. B. E. Owusu
2. P. Tongkumchum
3. Suhaimee Buya

In Neurology

1. B. E. Owusu
2. P. Tongkumchum
3. Suhaimee Buya

Citations in the corpus

• easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment (2016, background): “It was originally developed during World War II to detect whether a signal on the radar screen represented an object or a noise (Egan, 1975; Swets et al., 2000; Fan et al., 2006) and today it is widely used in medicine, radiology, biometrics, bioinformatics and various applications of machine learni”
• Modelling of land-use change in Thailand using binary logistic regression and multinomial logistic regression (2020, positive): “There are numerous measures for the AUC value analysis (Fan et al. 2006).”