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Diagnostic analysis based on ROC curves: theory and applications in medicine

Ana Cristina Braga (Department of Production and Systems Engineering, School of Engineering, University of Minho, Braga, Portugal)
Pedro Oliveira (Department of Production and Systems Engineering, School of Engineering, University of Minho, Braga, Portugal)

International Journal of Health Care Quality Assurance

ISSN: 0952-6862

Article publication date: 1 July 2003

1840

Abstract

Receiver operating characteristic (ROC) analysis is a powerful tool to measure and specify the problems with diagnostic performance in medicine. Describes this analysis and the importance of the index area under ROC curve, using some examples to demonstrate its application. The study was conducted on two sets of new‐borns with very low birth weight, coming from neonatal intensive care units from Portuguese hospitals. The first application uses correlated samples, and aims to define which of the five indices of clinical seriousness can be considered the best to evaluate the risk of death for babies with very low birth weight. In the second application, regarding independent samples, compares four Portuguese hospitals, the aim being to identify the neonatal intensive care unit which presents the best performance in terms of care to the new‐borns, i.e. evaluated through the comparison of the clinical severity indices.

Keywords

Citation

Braga, A.C. and Oliveira, P. (2003), "Diagnostic analysis based on ROC curves: theory and applications in medicine", International Journal of Health Care Quality Assurance, Vol. 16 No. 4, pp. 191-198. https://doi.org/10.1108/09526860310479677

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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