Work

Deep Learning Approaches for Predicting Atrial Fibrillation Risk in Pacemaker Patients

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Progress in Informatics and Computing

DOI: 10.1109/pic62406.2024.10892780

Authors: Charles Abdoulaye NGOM, Mandicou BA, Simon Antoine SARR, Idy DIOP, Moustapha MBAYE, Alassane BAH, Maboury DIAO

Institutions: Cheikh Anta Diop University, Hôpital Aristide Le Dantec

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4407938506

FWCI:

Cites: 13

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Related to: 10