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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 no: | Pediatr Transplant |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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