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Incidence and severity of aortic stenosis according to machine learning predicted risk of atrial fibrillation

Abstract Atrial fibrillation (AF) and aortic stenosis (AS) are two common progressive conditions affecting older persons that share pathobiological pathways. Early detection of AS is critical for improving outcomes, but no prediction tool exists to inform decision making. In this study we evaluated...

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Principais autores: Alhena Younis, Harriet Larvin, Khalid Kazi, Rowan Hall, Mohammad Haris, Tobin Joseph, Keerthenan Raveendra, Umbreen Nadeem, Daniel J. Blackman, Dominik Schlosshan, Jianhua Wu, Ramesh Nadarajah, Chris P. Gale
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-10-01
Serier:Scientific Reports
Fag:
Aortic stenosis
Atrial fibrillation
Prediction
Screening
Machine learning
Clinical health records
Online adgang:https://doi.org/10.1038/s41598-025-19916-5
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