Machine learning in sudden cardiac death risk prediction: a systematic review.
Joseph BarkerXin LiSarah KhavandiDavid KoeckerlingAkash MavilakandyCoral Jayne PepperVasiliki BountzioukaLong ChenAhmed KotbIbrahim AntounJohn MansirKarl Smith ByrneFernando Soares SchlindweinHarshil DhutiaIvan Y TyukinWilliam B NicolsonGhulam Andre NgPublished in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2022)
Machine learning for SCD prediction has been under-applied and incorrectly implemented but is ripe for future investigation. It may have some incremental utility in predicting SCD over traditional models. The development of reporting standards for machine learning is required to improve the quality of evidence reporting in the field.