Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure

Author:

Olsen Cameron R.,Mentz Robert J.,Anstrom Kevin J.,Page David,Patel Priyesh A.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference115 articles.

1. Heart disease and stroke statistics—2019 update: a report from the American Heart Association;Benjamin;Circulation,2017

2. National Academies of Sciences E, Medicine. Improving diagnosis in health care: National Academies Press; 2015.

3. The Seattle Heart Failure Model: prediction of survival in heart failure;Levy;Circulation,2006

4. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies;Pocock;Eur Heart J,2013

5. A validated risk score for in-hospital mortality in patients with heart failure from the American Heart Association get with the guidelines program;Peterson;Circ Cardiovasc Qual Outcomes,2010

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