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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Namasivayam, Mayooran, Myers, Paul D, Guttag, John V, Capoulade, Romain, Pibarot, Philippe, Picard, Michael H, Hung, Judy, Stultz, Collin M
Beste egile batzuk: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Formatua: Artikulua
Hizkuntza:English
Argitaratua: BMJ 2022
Sarrera elektronikoa:https://hdl.handle.net/1721.1/143591

Internet

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

Antzeko izenburuak