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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	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
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Nature Portfolio 2025-10-01
سلاسل:	Scientific Reports
الموضوعات:	Aortic stenosis Atrial fibrillation Prediction Screening Machine learning Clinical health records
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-025-19916-5
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!