Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques

BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King‟s College Criteria (KCC) and the Acute Liver Failure Study Group (ALFSG) Prognos...

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Detalhes bibliográficos
Publicado no:Comput Methods Programs Biomed
Main Authors: Speiser, Jaime Lynn, Karvellas, Constantine J., Wolf, Bethany J., Chung, Dongjun, Koch, David G., Durkalski, Valerie L.
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6530588/
https://ncbi.nlm.nih.gov/pubmed/31104700
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmpb.2019.04.012
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