Receiver Operating Characteristic Curves and Uncertainty of Measurement  The ROC plots are used in the evaluation of the clinical accuracy of a diagnostic test applied to a diseased and a nondiseased population. They display the sensitivity of the test versus 1-specificity. Sensitivity is the fraction of the diseased population with a positive test, while specificity is the fraction of the nondiseased population with a negative test. Therefore, the ROC plots display the true positive fraction versus the false positive fraction. Furthermore, the area under a ROC curve is used as an index of the diagnostic accuracy of the respective test. This Demonstration could be useful in exploring ROC curves and evaluating the maximum medically permissible uncertainty of measurement of a diagnostic test. For example, in the first snapshot the population data describes a bimodal distribution of serum glucose measurements with a non-diabetic and a diabetic population (Lim et al. 2002).  "Receiver Operating Characteristic Curves and Uncertainty of Measurement" from The Wolfram Demonstrations Project http://demonstrations.wolfram.com/ReceiverOperatingCharacteristicCurvesAndUncertaintyOfMeasure/ Contributed by: Aristides T. Hatjimihail (Hellenic Complex Systems Laboratory) |
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