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Evaluation of machine learning models for stroke risk prediction in atrial fibrillation: a systematic review and meta-analysis.

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Bibliographic Details
Title: Evaluation of machine learning models for stroke risk prediction in atrial fibrillation: a systematic review and meta-analysis.
Authors: Taebi M; Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran., Arvin A; Center for Orthopedic Trans-Disciplinary Applied Research (COTAR), Tehran University of Medical Sciences, Tehran, Iran., Azarboo A; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran., Behnoush AH; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran., Momenzadeh M; Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran., Fallahtafti P; Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran., Humayun Z; Department of Internal Medicine, University of Missouri - Kansas City, Kansas City, MO, USA., Tajdini M; Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran. mtajdini@sina.tums.ac.ir.; Department of Cardiovascular Research, Tehran Heart Center, North Kargar Ave, Tehran, 1411713138, Iran. mtajdini@sina.tums.ac.ir.
Source: BMC cardiovascular disorders [BMC Cardiovasc Disord] 2026 Jan 26; Vol. 26 (1). Date of Electronic Publication: 2026 Jan 26.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968539 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2261 (Electronic) Linking ISSN: 14712261 NLM ISO Abbreviation: BMC Cardiovasc Disord Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2261
DOI:10.1186/s12872-026-05508-2