Algorithm to determine the outcome of patients with acute liver failure: a data-mining analysis using decision trees

BACKGROUND: We established algorithms to predict the prognosis of acute liver failure (ALF) patients through a data-mining analysis, in order to improve the indication criteria for liver transplantation. METHODS: The subjects were 1,022 ALF patients seen between 1998 and 2007 and enrolled in a natio...

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Detalles Bibliográficos
Autores principales: Nakayama, Nobuaki, Oketani, Makoto, Kawamura, Yoshihiro, Inao, Mie, Nagoshi, Sumiko, Fujiwara, Kenji, Tsubouchi, Hirohito, Mochida, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2012
Materias:
Original Article—Liver, Pancreas, and Biliary Tract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377893/
https://www.ncbi.nlm.nih.gov/pubmed/22402772
http://dx.doi.org/10.1007/s00535-012-0529-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377893/
https://www.ncbi.nlm.nih.gov/pubmed/22402772
http://dx.doi.org/10.1007/s00535-012-0529-8

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