Evidence Based Emergency Medicine; Part 5 Receiver Operating Curve and Area under the Curve
Archives of Academic Emergency Medicine,
Vol. 4 No. 2 (2016),
1 May 2016
,
Page 111-113
https://doi.org/10.22037/aaem.v4i2.232
Abstract
Multiple diagnostic tools are used by emergency physicians, every day. In addition, new tools are evaluated to obtain more accurate methods and reduce time or cost of conventional ones. In the previous parts of this educational series, we described diagnostic performance characteristics of diagnostic tests including sensitivity, specificity, positive and negative predictive values, and likelihood ratios. The receiver operating characteristics (ROC) curve is a graphical presentation of screening characteristics. ROC curve is used to determine the best cutoff point and compare two or more tests or observers by measuring the area under the curve (AUC). In this part of our educational series, we explain ROC curve and two methods to determine the best cutoff value.
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References
Kumar R, Indrayan A. Receiver operating characteristic (ROC) curve for medical researchers. Indian Pediatr. 2011;48(4):277–87.
Altman DG, Bland JM. Diagnostic tests 3: receiver operating characteristic plots. BMJ. 1994;309(6948):188.
Akobeng AK. Understanding diagnostic tests 3: receiver operating characteristic curves. Acta Paediatr. 2007;96(5):644–7.
Acute Physiology and Chronic Health Evaluation (APACHE) III Score com- pared to Trauma-Injury Severity Score (TRISS) in Predicting Mortality of Trauma Patients. 2015;3:1–4.
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