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Technical Note

PBS. 2013; 3(3): 135-40


ROC Analysis in Clinical Decision Making

Selim KILIÇ.




Abstract

ROC curve is a graphic presentation of the relationship between both sensitivity and specificity. By the help of curves we can decide the optimal model through determining the best threshold for a diagnostic test. They also provide comparision the success of different tests in correct clinical diagnosis. ROC analysis is an analysis method that will contribute to the process of clinical decision-making when the diagnosis process will take a long time, the cost will be high, special method-equipment and qualified human resources will be needed by determining appropriate cut-off values for indicators that will be determined in short-time, low-cost, and easily obtainable.

Key words: true positive, false positive, curve, eşik değer






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