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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	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
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2025-10-01
Σειρά:	Scientific Reports
Θέματα:	Aortic stenosis Atrial fibrillation Prediction Screening Machine learning Clinical health records
Διαθέσιμο Online:	https://doi.org/10.1038/s41598-025-19916-5
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