Machine learning-based prediction of health outcomes in pediatric organ transplantation recipients

Wednesday, May 10th, 2023, from 4:00 PM ET to 5:00 PM ET • Co-sponsored by AST's Psychosocial and Ethics Community of Practice (PSECOP) and Pediatrics Community of Practice (PCOP)

"Machine learning–based prediction of health outcomes in pediatric organ transplantation recipients"
(JAMIA Open. 2021 Mar 12;4(1):ooab008. doi: 10.1093/jamiaopen/ooab008. eCollection 2021 Jan.)

In this article:
Prediction of post-transplant health outcomes and identification of key factors remain important issues for pediatric transplant teams and researchers... The purpose of [this] study was to examine machine learning (ML) models predicting post-transplant hospitalization in a sample of pediatric kidney, liver, and heart transplant recipients from a large solid organ transplant program.

The panelists also plan to touch on broader aspects of artificial intelligence in vulnerable transplant populations as part of the discussion.

- Michael Killian, PhD, MSW • Florida State University College of Social Work, Tallahassee, FL

- Ashley Spann, MD, MS Applied Clinical Informatics • Vanderbilt University Medical Center, Nashville, TN

All AST Journal Clubs, and featured AST/AJT Journal Clubs, are free but registration is required to attend live.

Watch Video

Educational Content Disclaimer: The content, information, opinions, and viewpoints contained in educational materials housed on and linked from the AST web site are those of the authors or contributors of such materials. While the AST and its committees take great care to screen the credentials of the contributors and make every attempt to review the contents, AST MAKES NO WARRANTY, EXPRESSED OR IMPLIED, as to the completeness or accuracy of the content contained in the educational materials or on this website. The reader of these materials uses these materials at his or her own risk, and AST shall not be responsible for any errors, omissions, or inaccuracies in these materials, whether arising through negligence, oversight, or otherwise. Reliance on any information appearing on this site is strictly at your own risk. Read the full disclaimer.