{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T18:36:51Z","timestamp":1773599811042,"version":"3.50.1"},"reference-count":6,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2003,7,1]],"date-time":"2003-07-01T00:00:00Z","timestamp":1057017600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,7,1]]},"abstract":"<jats:p>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\u2010borns 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\u2010borns, i.e. evaluated through the comparison of the clinical severity indices.<\/jats:p>","DOI":"10.1108\/09526860310479677","type":"journal-article","created":{"date-parts":[[2003,6,26]],"date-time":"2003-06-26T19:05:39Z","timestamp":1056654339000},"page":"191-198","source":"Crossref","is-referenced-by-count":11,"title":["Diagnostic analysis based on ROC curves: theory and applications in medicine"],"prefix":"10.1108","volume":"16","author":[{"given":"Ana Cristina","family":"Braga","sequence":"first","affiliation":[]},{"given":"Pedro","family":"Oliveira","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022032120233155000_B1","doi-asserted-by":"crossref","unstructured":"Dorfman, D.D. and Alf, E. (1969), \u201cMaximum\u2010likelihood estimation of parameters of signal\u2010detection theory and determination of confidence intervals \u2013 rating\u2010method data\u201d, Journal of Mathematical Psychology, Vol. 6, pp. 487\u201096.","DOI":"10.1016\/0022-2496(69)90019-4"},{"key":"key2022032120233155000_B2","doi-asserted-by":"crossref","unstructured":"Hanley, J.A. and McNeil, B.J. (1983), \u201cA method of comparing the areas under receiver operating characteristic curves derived from the same cases\u201d, Radiology, Vol. 148, pp. 839\u201043.","DOI":"10.1148\/radiology.148.3.6878708"},{"key":"key2022032120233155000_B3","doi-asserted-by":"crossref","unstructured":"International Neonatal Network (INN) (1993), \u201cThe CRIB (clinical risk index for babies) score: a tool for assessing initial neonatal risk and comparing performance of neonatal intensive care units\u201d, The Lancet, Vol. 342, pp. 193\u20108.","DOI":"10.1016\/0140-6736(93)92296-6"},{"key":"key2022032120233155000_B4","unstructured":"Metz, C.E. (1986), \u201cStatistical analysis of ROC data in evaluating diagnostic performance\u201d, Proceedings of First Midyear Topical Symposium: \u201cMultiple Regression Analysis: Applications in the Health Sciences\u201d, No. 13, pp. 365\u201084."},{"key":"key2022032120233155000_B5","doi-asserted-by":"crossref","unstructured":"Swets, J.A. (1986), \u201cForm of empirical ROCs in discrimination and diagnostic tasks\u201d, Psych ological Bulletin, Vol. 99 No. 2, pp. 81\u2010198.","DOI":"10.1037\/0033-2909.99.2.181"},{"key":"key2022032120233155000_B6","unstructured":"Swets, J.A. (1996), Signal Detection Theory and ROC Analysis in Psychology and Diagnostics: Collected Papers, LEA, New Jersey, NJ."}],"container-title":["International Journal of Health Care Quality Assurance"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/09526860310479677","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/09526860310479677\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/09526860310479677\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T00:28:43Z","timestamp":1753403323000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ijhcqa\/article\/16\/4\/191-198\/124384"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,7,1]]},"references-count":6,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2003,7,1]]}},"alternative-id":["10.1108\/09526860310479677"],"URL":"https:\/\/doi.org\/10.1108\/09526860310479677","relation":{},"ISSN":["0952-6862"],"issn-type":[{"value":"0952-6862","type":"print"}],"subject":[],"published":{"date-parts":[[2003,7,1]]}}}