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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Publicat a:Pediatr Transplant
Autors principals: Indur Wadhwani, Sharad, Hsu, Evelyn K., Shaffer, Michele L., Anand, Ravinder, Lee Ng, Vicky, Bucuvalas, John C.
Format: Artigo
Idioma:Inglês
Publicat: 2019
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Article
Accés en línia: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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