title: When is a diagnostic test result positive? Decision tree models based on net utility and threshold.
abstract: The question "When is a diagnostic test result positive?" can be addressed by clinical decision analysis. We developed two simple decision tree models for selecting appropriate cutoff levels: a net utility model and a threshold model. These models have been incorporated in a software program for desktop computers. We believe it is important for investigators to provide raw data on test performance, for three reasons. First, these data can be used in simple decision tree models to identify "appropriate" cutoff levels. Second, they can be used to evaluate empiric cutoff levels or decision rules. Third, they can be used to evaluate optimal cutoff levels for detailed decision trees depicting specific clinical problems.
mesh_terms: D003362:Cost-Benefit Analysis; D003657:Decision Making; D003933:Diagnosis; D006801:Humans; D008962:Models, Theoretical; D011336:Probability; D012984:Software