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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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| Wydane w: | Comput Methods Programs Biomed |
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| Główni autorzy: | , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | 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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