Inspection Policies for Diagnostic Classification Brandon Blakeley Advisers: Dr. MK Jeong and Dr. Endre Boros

Classifiers Given some training set of data and outcomes Predict the outcome of another set of instances

Examples of Classifiers Predict Disease status Container safety Carcinogenicity Given Health exams Content scans Experimental results

Diagnostics Container Inspection Radiation Sensors Document Checks Imagery Scans Disease Diagnosis Medical History Fitness Exams Imaging Procedures

Policy A policy is a tree where Internal nodes represent diagnostic tests Edges represent actions following a test Leaves represent classifications

Bicriterion Optimization Maximize Detection Casualties Corrective Procedures Minimize Cost Time Money Pain Dominant strategy might not exist

Receiver Operating Characteristic Plots false positive rate versus true positive rate We can optimize the bicriterion objective for any particular budget value by quantifying costs

Goals Empirically evaluate performance Extend for missing data