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

Cardiac Disease Management (94) Clinical Information and Decision Making (1407) Cardiology (159) Decision Support for Health Professionals (1185) Machine Learning (1465) Artificial Intelligence (1371)

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
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