Machine learning in sudden cardiac death risk prediction: a systematic review.

Joseph Barker,Xin Li,Sarah Khavandi,David Koeckerling,Akash Mavilakandy,Coral Pepper,Vasiliki Bountziouka,Long Chen,Ahmed Kotb,Ibrahim Antoun,John Mansir,Karl Smith-Byrne,Fernando S Schlindwein,Harshil Dhutia,Ivan Tyukin,William B Nicolson,G Andre Ng

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）

Cited 9|Views33

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Abstract

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.

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Key words

Deep learning,Implantable cardioverter-defibrillator,Machine learning,Prediction,Sudden cardiac death,Systematic review

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