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
Source: news-medical.net