Machine learning using institution-specific multi-modal electronic health records improves mortality risk prediction for cardiac surgery patients-Reference-Cited by-同舟云学术

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Machine learning using institution-specific multi-modal electronic health records improves mortality risk prediction for cardiac surgery patients

Published:2023-06 Issue: Volume:14 Page:214-251
ISSN:2666-2736
Container-title:JTCVS Open
language:en
Short-container-title:JTCVS Open

Author:

Weiss Aaron J.,Yadaw Arjun S.,Meretzky David L.,Levin Matthew A.,Adams David H.,McCardle Ken,Pandey Gaurav,Iyengar Ravi

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

Reference44 articles.

1. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 1--coronary artery bypass grafting surgery;Shahian;Ann Thorac Surg,2009

2. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 2--isolated valve surgery;O'Brien;Ann Thorac Surg,2009

3. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 3--valve plus coronary artery bypass grafting surgery;Shahian;Ann Thorac Surg,2009

4. European system for cardiac operative risk evaluation (EuroSCORE);Nashef;Eur J Cardiothorac Surg,1999

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

Cited by 2 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. Artificial intelligence in cardiac surgery: A systematic review;World Journal of Surgery;2024-07-17

2. Machine learning in cardiac surgery: a narrative review;Journal of Thoracic Disease;2024-04

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