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

BACKGROUND: The prediction of posttransplant health outcomes for pediatric heart transplantation is critical for risk stratification and high-quality posttransplant care. OBJECTIVE: The purpose of this study was to examine the use of machine learning (ML) models to predict rejection and mortality fo...

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Detalles Bibliográficos
Autores principales: Killian, Michael O, Tian, Shubo, Xing, Aiwen, Hughes, Dana, Gupta, Dipankar, Wang, Xiaoyu, He, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334720/
https://www.ncbi.nlm.nih.gov/pubmed/37338974
http://dx.doi.org/10.2196/45352

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334720/
https://www.ncbi.nlm.nih.gov/pubmed/37338974
http://dx.doi.org/10.2196/45352

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