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Exploring the shared biomarkers between cardioembolic stroke and atrial fibrillation by WGCNA and machine learning

29 Aug 2024

Abstract excerpt

Background: Cardioembolic Stroke (CS) and Atrial Fibrillation (AF) are prevalent diseases that significantly impact the quality of life and impose considerable financial burdens on society. Despite increasing evidence of a significant association between the two diseases, their complex interactions remain inadequately understood. We conducted bioinformatics analysis and employed machine learning techniques to...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 39267804
DOI: 10.3389/fcvm.2024.1375768

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