Scoring systems developed by machine learning: intelligent but simple to use?-Reference-Cited by-同舟云学术

Scoring systems developed by machine learning: intelligent but simple to use?

Published:2024-02-06 Issue:11 Volume:45 Page:937-939
ISSN:0195-668X
Container-title:European Heart Journal
language:en
Short-container-title:

Author:

Banerjee Abhirup¹,Leeson Paul²^ORCID

Affiliation:

1. Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford , Oxford , UK

2. Oxford Cardiovascular Clinical Research Facility, RDM Division of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital , Oxford OX3 9DU , UK

Funder

Oxford NIHR Biomedical Research Centre

Royal Society

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/eurheartj/article-pdf/45/11/937/56975206/ehae053.pdf

Reference7 articles.

1. Artificial intelligence-derived risk score for mortality in secondary mitral regurgitation treated by transcatheter edge-to-edge repair: the EuroSMR risk score;Hausleiter;Eur Heart J,2024

2. EuroSCORE II;Nashef;Eur J Cardiothorac Surg,2012

3. A score to assess mortality after percutaneous mitral valve repair;Raposeiras-Roubin;J Am Coll Cardiol,2022

4. Prediction of death or HF hospitalization in patients with severe FMR: the COAPT risk score;Shah;JACC Cardiovasc Interv,2022

5. A machine learning-based score for precise echocardiographic assessment of cardiac remodelling in hypertensive young adults;Alsharqi;Eur Heart J Imaging Methods Pract,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mitral, aortic, and tricuspid valve disease: new light shed on mechanisms, risk stratification, and treatment optimization;European Heart Journal;2024-03-14