Do machine learning algorithms accurately predict mortality in patients undergoing coronary artery bypass grafting?
Machine learning models, particularly logistic regression, demonstrate acceptable performance in predicting mortality risk after coronary artery bypass grafting to aid clinical decision-making.
Various ML models showed acceptable performance for estimating CABG mortality, with LR illustrating the highest prediction performance. These models can help clinicians make decisions according to the risk of mortality in patients undergoing CABG.
Khalaji et al. (Wed,) studied this question.
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