Remote monitoring data from cardiac implantable electronic devices predicts all-cause mortality.

Fozia Zahir AhmedCamilla Sammut-PowellChun Shing KwokTricia TayManish MotwaniGlen P MartinJoanne K Taylor

Published 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 (2021)

Remote monitoring data from CIEDs can be used to identify patients at higher risk of all-cause mortality as well as HF events. Distinct from other prognostic scores, this approach is automated and continuously updated.

Keyphrases

electronic health record
big data
machine learning
deep learning
left ventricular
high throughput