Semisupervised Machine Learning on Intraoperative Hemodynamic Recordings Predicts Multiple Clinical Outcomes at 1 and 2 Years Following Mitral Valve Transcatheter Edge to Edge Repair

Mahayni, Abdulah; Rostami, Behrouz; Ponce, Alejandra Chavez; Alkhouli, Mohamad Adnan

doi:10.1016/s0735-1097(23)04468-6

Journal of the American College of Cardiology

2023

DOI: 10.1016/s0735-1097(23)04468-6

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Semisupervised Machine Learning on Intraoperative Hemodynamic Recordings Predicts Multiple Clinical Outcomes at 1 and 2 Years Following Mitral Valve Transcatheter Edge to Edge Repair

Abdulah Mahayni

Behrouz Rostami

Alejandra Chavez Ponce

et al.

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Semisupervised Machine Learning on Intraoperative Hemodynamic Recordings Predicts Multiple Clinical Outcomes at 1 and 2 Years Following Mitral Valve Transcatheter Edge to Edge Repair

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