Do machine learning models improve the prediction of heart failure events compared to statistical models?
Machine learning models do not currently outperform traditional statistical models for predicting heart failure events and present challenges in clinical feasibility.
ML models did not achieve a significant advantage in predicting events, and their clinical feasibility and reliability were worse.
Sun et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: