Artificial Intelligence for Modeling Complex Treatment Decisions in Aortic Valve Intervention
Author:
Affiliation:
1. National Heart Centre Singapore,Cardiology,Singapore,Singapore
2. National University of Singapore,Biomedical Engineering,Singapore,Singapore
3. Lee Kong Chian School of Medicine,Digital Health,Singapore,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10605128/10605229/10605397.pdf?arnumber=10605397
Reference11 articles.
1. Aortic Valve Stenosis: Diagnostic Approaches and Recommendations of the 2021 ESC/EACTS Guidelines for the Management of Valvular Heart Disease –A Review of the Literature
2. Trends in Mortality From Aortic Stenosis in Europe: 2000–2017
3. Medical management of symptomatic severe aortic stenosis in patients non-eligible for transcatheter aortic valve implantation;Gheorghe;(in eng), J Geriatr Cardiol,2020
4. Cost-effective analysis of transcatheter aortic valve replacement in patients with severe symptomatic aortic stenosis: A prospective multicenter study
5. Greedy Layer-Wise Training of Deep Networks
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