A machine learning approach to model for end‐stage liver disease score in cardiac surgery-Reference-Cited by-同舟云学术

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A machine learning approach to model for end‐stage liver disease score in cardiac surgery

Published:2021-11-18 Issue:1 Volume:37 Page:29-38
ISSN:0886-0440
Container-title:Journal of Cardiac Surgery
language:en
Short-container-title:J Card Surg

Author:

Aranda‐Michel Edgar¹,Sultan Ibrahim¹²^ORCID,Kilic Arman¹²^ORCID,Bianco Valentino¹^ORCID,Brown James A.¹,Serna‐Gallegos Derek¹²^ORCID

Affiliation:

1. Division of Cardiac Surgery, Department of Cardiothoracic Surgery University of Pittsburgh Pittsburgh Pennsylvania USA

2. Division of Cardiac Surgery Heart and Vascular Institute, University of Pittsburgh Medical Center Pittsburgh Pennsylvania USA

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine,Surgery,Pulmonary and Respiratory Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jocs.16076

Reference23 articles.

1. The impact of artificial intelligence in medicine on the future role of the physician

2. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

3. Opening the black box of machine learning

4. Standard errors and confidence intervals for variable importance in random forest regression, classification, and survival

5. A prediction-based alternative to P values in regression models

Cited by 3 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. Artificial Intelligence in Cardiac Surgery: A Systematic Review;2023-10-19

3. Commentary: Can we crack the black box of machine learning for aortic aneurysms?;The Journal of Thoracic and Cardiovascular Surgery;2021-12

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