A Decision Analytic Approach to Coronary Care Patient Classification.
MILITARY ACADEMY WEST POINT N Y DEPT OF ENGINEERING
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The purpose of this project is to categorize cardiac patients using an expected utility criteria. Bayesian updating using symptomatic information has been a successful tool for disease diagnosis. However, in classification of cardiac patients, discriminant analysis using the BMD05M computer package achieves comparable results with far less effort. Discriminant scores can be evaluated and normalized as probabilistic estimates of the patients cardiac condition. By incorporating these probabilities with subjective value estimates for possible misclassifications, the expected utility of assigning patients to each cardiac category can be calculated. Patients are then classified into cardiac categories based upon highest expected utility. Author
- Medicine and Medical Research