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Updated: Jun 18, 2025

Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
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预测心房的创新方法:多基因分数和机器学习应该在临床实践中实施吗?

Adrian M Petzl1,2, Gilbert Jabbour1,3, Julia Cadrin-Tourigny1,2

  • 1Electrophysiology Service, Department of Medicine, Montreal Heart Institute, Université de Montréal, 5000 rue Bélanger, Montreal, QC H1T 1C8, Canada.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
|July 29, 2024
PubMed
概括

预测心房动 (AF) 对于预防不良事件至关重要. 本综述探讨了人工智能和多基因风险评分如何改善AF预测和查,以更好地管理患者.

关键词:
人工智能的人工智能是人工智能.心房动是一种心房动.前庭动预测得分的预测得分对心房动进行查.深度学习是一种深度学习.多基因风险评分多基因风险评分.

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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