Personalizing patient risk of a life-altering event: An application of machine learning to hemiarch surgery-Reference-Cited by-同舟云学术

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Personalizing patient risk of a life-altering event: An application of machine learning to hemiarch surgery

Published:2024-04 Issue: Volume: Page:
ISSN:0022-5223
Container-title:The Journal of Thoracic and Cardiovascular Surgery
language:en
Short-container-title:The Journal of Thoracic and Cardiovascular Surgery

Author:

Carroll Adam M.,Chanes Nicolas,Shah Ananya,Dzubinski Lance,Aftab Muhammad,Reece T. Brett

Funder

Division of Cardiothoracic Surgery, University of Colorado School of Medicine, Anschutz Medical Campus

Publisher

Elsevier BV

Reference29 articles.

1. Contemporary results of hemiarch replacement;Gambardella;Eur J Cardiothorac Surg,2017

2. Contemporary results for proximal aortic replacement in North America;Williams;J Am Coll Cardiol,2012

3. Machine learning improves mortality risk prediction after cardiac surgery: systematic review and meta-analysis;Benedetto;J Thorac Cardiovasc Surg,2022

4. Machine learning models with preoperative risk factors and intraoperative hypotension parameters predict mortality after cardiac surgery;Fernandes;J Cardiothorac Vasc Anesth,2021

5. Machine learning for the prediction of acute kidney injury in patients after cardiac surgery;Xue;Front Surg,2022

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