Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy

BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing continuous renal replacement therapy (CRRT) for seve...

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Detalhes bibliográficos
Publicado no:Crit Care
Main Authors: Kang, Min Woo, Kim, Jayoun, Kim, Dong Ki, Oh, Kook-Hwan, Joo, Kwon Wook, Kim, Yon Su, Han, Seung Seok
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7006166/
https://ncbi.nlm.nih.gov/pubmed/32028984
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13054-020-2752-7
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