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Chapter-19 Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients

BOOK TITLE: Year Book of Cardiology – 2019 Heart Failure

Author
1. Krishnan Hari
ISBN
9789352708949
DOI
10.5005/jp/books/18563_20
Edition
1/e
Publishing Year
2020
Pages
1
Author Affiliations
1. Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
Chapter keywords
Machine learning method, heart failure patient, hypothesis, Swedish heart failure registry, left ventricular ejection fraction, LVEF, beta-blocker, angiotensin-converting enzyme inhibitor, diuretic, HF clinical trial

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