Machine learning: at the heart of failure diagnosis.
Journal:
Current opinion in cardiology
Published Date:
Mar 1, 2021
Abstract
PURPOSE OF REVIEW: Refinement in machine learning (ML) techniques and approaches has rapidly expanded artificial intelligence applications for the diagnosis and classification of heart failure (HF). This review is designed to provide the clinician with the basics of ML, as well as this technologies future utility in HF diagnosis and the potential impact on patient outcomes.