Evaluating variable selection methods for diagnosis of myocardial infarction.

Keyphrases

• Acute Myocardial Infarction Diagnosis 100%
• Automatic Relevance Determination 50%
• Backpropagation 50%
• Backward Selection 50%
• Bayesian Neural Network 50%
• Forward Selection 50%
• Logistic Regression 50%
• Machine Learning Techniques 50%
• Multilayer Perceptron 50%
• Myocardial Infarction 100%
• One-variable 50%
• Predictor Variables 50%
• Self-organizing Map 50%
• Stepwise Selection 50%
• Variable Selection Methods 100%

Pharmacology, Toxicology and Pharmaceutical Science

• Heart Infarction 100%