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Abstract 4134947: Explainable Machine Learning to Predict Heart Failure Outcomes Using Exercise and Clinical Data

Year: 2024

Type: conference-abstract

Source: Circulation

DOI: 10.1161/circ.150.suppl_1.4134947

Authors: Varsha Karanam, Matthew Magoon, Neha Arunkumar, Andrew Pattock, Todd Dardas, Patrick Boyle, Yonatan Buber, David Leone

Institutions: University of Washington, University of Washington Medical Center

Language: English

Topic: Cardiovascular and exercise physiology

Subfield: Complementary and alternative medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404323402

Cites:

Cited by: 2

Related to: 10