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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Veröffentlicht in:Pediatr Transplant
Hauptverfasser: Indur Wadhwani, Sharad, Hsu, Evelyn K., Shaffer, Michele L., Anand, Ravinder, Lee Ng, Vicky, Bucuvalas, John C.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2019
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Article
Online Zugang: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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