A machine learning-derived risk score to predict left ventricular diastolic dysfunction from clinical cardiovascular magnetic resonance imaging

IntroductionThe evaluation of left ventricular diastolic dysfunction (LVDD) by clinical cardiac magnetic resonance (CMR) remains a challenge. We aimed to train and evaluate a machine-learning (ML) algorithm for the assessment of LVDD by clinical CMR variables and to investigate its prognostic value...

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Үндсэн зохиолчид:	Qingtao Zhou, Lin Wang, Jason Craft, Jonathan Weber, Michael Passick, Nora Ngai, Omar K. Khalique, James W. Goldfarb, Eddy Barasch, J. Jane Cao
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Frontiers Media S.A. 2024-06-01
Цуврал:	Frontiers in Cardiovascular Medicine
Нөхцлүүд:	machine learning LVDD heart failure echocardiography cardiac magnetic resonance imaging
Онлайн хандалт:	https://www.frontiersin.org/articles/10.3389/fcvm.2024.1382418/full
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!