A Decision Analytic Approach to Coronary Care Patient Classification.

Abstract

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 patient's 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)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1976
Accession Number
ADA050910

Entities

People

  • Terry A.. Bresnick

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cardiology
  • Classification
  • Computers
  • Databases
  • Death
  • Diseases And Disorders
  • Engineering
  • Health Services
  • Heart Diseases
  • Internal Medicine
  • Medical Personnel
  • Myocardial Ischemia
  • New York
  • Operations Research
  • Pain
  • Physicians
  • Surgery

Readers

  • Psychometric Testing or Psychological Assessment.
  • Statistical inference.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference