This paper is in the following e-collection/theme issue:

Cardiac Disease Management (100) Clinical Information and Decision Making (1434) Cardiology (164) Decision Support for Health Professionals (1210) Machine Learning (1501) Artificial Intelligence (1421)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45352, first published .
Prediction of Outcomes After Heart Transplantation in Pediatric Patients Using National Registry Data: Evaluation of Machine Learning Approaches

Prediction of Outcomes After Heart Transplantation in Pediatric Patients Using National Registry Data: Evaluation of Machine Learning Approaches

Prediction of Outcomes After Heart Transplantation in Pediatric Patients Using National Registry Data: Evaluation of Machine Learning Approaches

Authors of this article:

Michael O Killian1 Author Orcid Image ;   Shubo Tian2 Author Orcid Image ;   Aiwen Xing2 Author Orcid Image ;   Dana Hughes1 Author Orcid Image ;   Dipankar Gupta3 Author Orcid Image ;   Xiaoyu Wang2 Author Orcid Image ;   Zhe He4 Author Orcid Image
Article Authors Cited by (2) Tweetations (9) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.