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How Far Can Time-Series Models Go in Capturing Dynamic Stroke Risk Post Atrial Fibrillation?

Yang Chen1

  • 1Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom; Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom.

JACC. Asia
|August 7, 2025
PubMed
Abstract

No abstract available in PubMed .

Keywords:
atrial fibrillationexplainable artificial intelligencegated recurrent unitrecurrent neural networkstroke

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