Machine Learning in EP Research: New Tools for Old Problems.

William A FiggettJoshua Hawson Geoffrey Lee

Published in: Journal of cardiovascular electrophysiology (2023)

The emerging use of Machine Learning (ML) approaches in biomedical and clinical research settings has demonstrated various advantages and opportunities in exploring large and complex data sets, and potentially supporting expert decision-making to benefit patients. This article is protected by copyright. All rights reserved.

Keyphrases

machine learning
decision making
end stage renal disease
big data
newly diagnosed
ejection fraction
artificial intelligence
mental health
prognostic factors
peritoneal dialysis
clinical practice
deep learning