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Abstract 4343195: Using Machine Learning Methods to Predict Adverse Events in Patients Undergoing Transcatheter Left Atrial Appendage Occlusion

Year: 2025

Type: conference-abstract

Source: Circulation

DOI: 10.1161/circ.152.suppl_3.4343195

Authors: Kamil Faridi, Bobak Mortazavi, Sicong Huang, Sarah Zimmerman, Daniel Friedman, Rohan Khera, Harlan Krumholz, Jeptha Curtis, James Freeman

Institutions: Yale University, Texas A&M University, Duke University

Language: English

Topic: Atrial Fibrillation Management and Outcomes

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4415789435

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