Machine learning versus physicians’ prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor

BACKGROUND: Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive care unit (ICU). The AKIpredictor is a set of machine-learning-based prediction models for AKI using routinely collected patient information, and accessible online. In order to evaluate its clinical value,...

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Опубликовано в: :Crit Care
Главные авторы: Flechet, Marine, Falini, Stefano, Bonetti, Claudia, Güiza, Fabian, Schetz, Miet, Van den Berghe, Greet, Meyfroidt, Geert
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2019
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Research
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6697946/
https://ncbi.nlm.nih.gov/pubmed/31420056
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13054-019-2563-x
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