Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation (SPLIT) data

Machine learning analyses allow for the consideration of numerous variables in order to accommodate complex relationships that would not otherwise be apparent in traditional statistical methods to better classify patient risk. The Studies of Pediatric Liver Transplantation (SPLIT) registry data was...

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Publicado en:Pediatr Transplant
Autores principales: Indur Wadhwani, Sharad, Hsu, Evelyn K., Shaffer, Michele L., Anand, Ravinder, Lee Ng, Vicky, Bucuvalas, John C.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2019
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7980252/
https://ncbi.nlm.nih.gov/pubmed/31328849
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/petr.13554
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