Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score

Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score

<jats:sec><jats:title>Objective</jats:title><jats:p>To use echocardiographic and clinical features to develop an explainable clinical risk prediction model in patients with aortic stenosis (AS), including those with low-gradient AS (LGAS), using machine learning (ML).</jat...

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Bibliographic Details
Main Authors: Namasivayam, Mayooran, Myers, Paul D, Guttag, John V, Capoulade, Romain, Pibarot, Philippe, Picard, Michael H, Hung, Judy, Stultz, Collin M
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: BMJ 2022
Online Access:https://hdl.handle.net/1721.1/143591

Internet

https://hdl.handle.net/1721.1/143591

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