An Explainable Artificial Intelligence Approach for Discovering Social Determinants of Health and Risk Interactions for Stroke in Patients With Atrial Fibrillation

Am J Cardiol. 2023 Aug 15:201:224-226. doi: 10.1016/j.amjcard.2023.05.064. Epub 2023 Jun 27.

Authors

Raquel M Zimmerman¹, Edgar J Hernandez², W Scott Watkins², Nathan Blue³, Martin Tristani-Firouzi⁴, Mark Yandell², Benjamin A Steinberg⁵

Affiliations

¹ Department of Biomedical Informatics, University of Utah, Utah.
² Utah Center for Genetic Discovery, Department of Human Genetics, University of Utah, Utah.
³ Department of Obstetrics and Gynecology, University of Utah, Utah.
⁴ Department of Pediatrics, University of Utah, Utah.
⁵ Division of Cardiology, Department of Medicine, University of Utah, Salt Lake City, Utah. Electronic address: benjamin.steinberg@hsc.utah.edu.

No abstract available

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence
Atrial Fibrillation* / complications
Atrial Fibrillation* / epidemiology
Humans
Social Determinants of Health
Stroke* / epidemiology
Stroke* / etiology

Grants and funding

K23 HL143156/HL/NHLBI NIH HHS/United States