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Machine learning shows promise for coronary artery disease risk assessment
Researchers investigated the performance of a machine learning-based model in evaluating radiomic features to diagnose coronary artery disease.
Scientific reports
Naive bayes
Maximum relevance minimum redundancy
Recursive feature elimination
Random forest
Standardized environment
Radiomics analysis
Coronary artery disease
Machine learning
Computed tomography
Diabetes mellitus
Myocardial infarction
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