Effects of Pattern Matching, Pattern Discrimination, and Experience in the Development of Diagnostic Expertise

In this study an artificial intelligence assessment tool used disease-by-feature frequency estimates to create disease prototypes for nine common causes of acute chest pain. The tool then used each subject's prototypes and a pattern-recognition-based decision-making mechanism to diagnose 18 myo...

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Bibliographic Details
Published inJournal of medical education Vol. 65; no. 9
Main Author Papa, Frank
Format Journal Article
LanguageEnglish
Published 1990
Subjects
Artificial Intelligence
Clinical Diagnosis
Construct Validity
Decision Making
Heart Disorders
Higher Education
Information Processing
Medical Education
Medical Schools
Pattern Recognition
Prototypes
Testing
Texas College of Osteopathic Medicine
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Summary:In this study an artificial intelligence assessment tool used disease-by-feature frequency estimates to create disease prototypes for nine common causes of acute chest pain. The tool then used each subject's prototypes and a pattern-recognition-based decision-making mechanism to diagnose 18 myocardial infarction cases. (MLW)
ISSN:0022-2577