Work

Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators

Year: 2024

Type: article

Study design: Observational Study

Source: Journal of the American College of Cardiology

DOI: 10.1016/j.jacc.2024.09.006

Authors: Lindsey Rosman, Rachel Lampert, Kaicheng Wang, Anil K. Gehi, James Dziura, Elena Salmoirago-Blotcher, Cynthia Brandt, Samuel F. Sears, Matthew Burg

Institutions: University of North Carolina at Chapel Hill, Yale University, Miriam Hospital, Brown University, VA Connecticut Healthcare System, East Carolina University

Language: English

Topic: Cardiac pacing and defibrillation studies

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: University of North Carolina, National Heart, Lung, and Blood Institute

OpenAlex ID: W4404534243

FWCI: 3.888

Cites: 44

Cited by: 13

Related to: 10