Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillatorResearch in context

Summary: Background: Risk stratification for ventricular arrhythmias currently relies on static measurements that fail to adequately capture dynamic interactions between arrhythmic substrate and triggers over time. We trained and internally validated a dynamic machine learning (ML) model and neural...

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الحاوية / القاعدة:	EBioMedicine
المؤلفون الرئيسيون:	Maarten Z.H. Kolk, Samuel Ruipérez-Campillo, Laura Alvarez-Florez, Brototo Deb, Erik J. Bekkers, Cornelis P. Allaart, Anne-Lotte C.J. Van Der Lingen, Paul Clopton, Ivana Išgum, Arthur A.M. Wilde, Reinoud E. Knops, Sanjiv M. Narayan, Fleur V.Y. Tjong
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2024-01-01
الموضوعات:	Cardiology Machine learning Deep learning Electrocardiography Sudden cardiac death
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2352396423005030