A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Elsevier BV
Subject
Health Informatics,Analytical Chemistry
Reference42 articles.
1. ML can predict survival of patients with heart failure from SCe and EF alone;Chicco;BMC Med. Inf. Decis. Mak.,2020
2. World Heart Day,2021
3. What is heart failure?;NHLBI,2022
4. Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes;Austin;J. Clin. Epidemiol.,2013
5. 2009 Focused Update Incorporated Into the ACC/AHA 2005 Guidelines for the Diagnosis and Management of Heart Failure in Adults
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