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Papa, Frank J.; Schumacker, Randall E. – 1995
Measures of the robustness of disease class-specific diagnostic concepts could play a central role in training programs designed to assure the development of diagnostic competence. In the pilot study, the authors used disease/sign-symptom conditional probability estimates, Monte Carlo procedures, and artificial intelligence (AI) tools to create…
Descriptors: Adaptive Testing, Artificial Intelligence, Classification, Clinical Diagnosis