Using Machine Learning to Predict Development of Heart Failure, during Post-Acute COVID-19, by Race and Ethnicity

Author:

Cathey Emily1,Delelegn Bezawit1,Landi AnnaMaria1,Sharma Suchetha1,Loomba Johanna2,Mazimba Sula2,Brown Donald E.1

Affiliation:

1. University of Virginia,School of Data Science

2. University of Virginia,School of Medicine

Publisher

IEEE

Reference31 articles.

1. Artificial intelligence algorithm for predicting mortality of patients with acute heart failure

2. Race, Ethnicity, & Kidney Disease - National Kidney Foundation,0

3. Heart disease #1 cause of death rank likely to be impacted by COVID-19 for years to come - American Heart Association,0

4. Predicting mortality and hospitalization in heart failure using machine learning: A systematic literature review

5. Analysis of Machine Learning Tech-niques for Heart Failure Readmissions,0

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