Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement-Reference-Cited by-同舟云学术

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Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement

Published:2021-02 Issue:2 Volume:111 Page:503-510
ISSN:0003-4975
Container-title:The Annals of Thoracic Surgery
language:en
Short-container-title:The Annals of Thoracic Surgery

Author:

Kilic Arman,Goyal Anshul,Miller James K.,Gleason Thomas G.,Dubrawksi Artur

Funder

Society of Thoracic Surgeons

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

Reference16 articles.

1. A short history of The Society of Thoracic Surgeons National Cardiac Database: perceptions of a practicing surgeon;Caceres;Ann Thorac Surg,2010

2. Cardiac surgery risk models: a position article;Shahian;Ann Thorac Surg,2004

3. The Society of Thoracic Surgeons 2018 adult cardiac surgery risk models: part 1-background, design considerations, and model development;Shahian;Ann Thorac Surg,2018

4. The Society of Thoracic Surgeons 2018 adult cardiac surgery risk models: part2-statistical methods and results;O’Brien;Ann Thorac Surg,2018

5. Predictive utility of a machine learning algorithm in estimating mortality risk in cardiac surgery;Kilic;Ann Thorac Surg,2020

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3. The Emerging and Important Role of Artificial Intelligence in Cardiac Surgery;Canadian Journal of Cardiology;2024-08

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5. Reliability of EuroSCORE II on Prediction of Thirty-Day Mortality and Long-Term Results in Patients Treated with Sutureless Valves;Journal of Clinical Medicine;2024-07-08

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