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Logistic regression model can reduce unnecessary artificial liver support in hepatitis B virus-associated acute-on-chronic liver failure: decision curve analysis
BACKGROUND: Several models have been proposed to predict the short-term outcome of acute-on-chronic liver failure (ACLF) after treatment. We aimed to determine whether better decisions for artificial liver support system (ALSS) treatment could be made with a model than without, through decision curv...
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| Pubblicato in: | BMC Med Inform Decis Mak |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4893223/ https://ncbi.nlm.nih.gov/pubmed/27260306 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-016-0302-7 |
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