Using machine learning to improve survival prediction after heart transplantation-Reference-Cited by-同舟云学术

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Using machine learning to improve survival prediction after heart transplantation

Published:2021-08-19 Issue:11 Volume:36 Page:4113-4120
ISSN:0886-0440
Container-title:Journal of Cardiac Surgery
language:en
Short-container-title:J Card Surg

Author:

Ayers Brian¹^ORCID,Sandholm Tuomas²,Gosev Igor³,Prasad Sunil³,Kilic Arman⁴^ORCID

Affiliation:

1. Department of Surgery The Massachusetts General Hospital Boston Massachusetts USA

2. Carnegie Mellon University Pittsburgh Pennsylvania USA

3. Division of Cardiac Surgery The University of Rochester Medical Center Rochester New York USA

4. Division of Cardiothoracic Surgery Medical University of South Carolina Charleston South Carolina USA

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine,Surgery,Pulmonary and Respiratory Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jocs.15917

Reference27 articles.

1. The International Thoracic Organ Transplant Registry of the International Society for Heart and Lung Transplantation: Thirty-sixth adult lung and heart–lung transplantation Report—2019; Focus theme: Donor and recipient size match

2. Matching the Market for Heart Transplantation

3. Measuring Transplant Center Performance: the Goals Are Not Controversial but the Methods and Consequences Can Be

4. A Fully Magnetically Levitated Left Ventricular Assist Device — Final Report

5. The Society of Thoracic Surgeons National Database 2019 Annual Report

Cited by 32 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. Posttransplant complications: molecular mechanisms and therapeutic interventions;MedComm;2024-09

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

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

4. How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?;Journal of Clinical Medicine;2024-05-20

5. Artificial Intelligence in Organ Transplantation: Surveying Current Applications, Addressing Challenges and Exploring Frontiers;Artificial Intelligence;2024-04-12

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