Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

PURPOSE: Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have emerged. We assessed their performance by carrying out a systematic review and meta-analysis. METHODS: A systematic search was performed in Pu...

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Detaylı Bibliyografya
Yayımlandı:Intensive Care Med
Asıl Yazarlar: Fleuren, Lucas M., Klausch, Thomas L. T., Zwager, Charlotte L., Schoonmade, Linda J., Guo, Tingjie, Roggeveen, Luca F., Swart, Eleonora L., Girbes, Armand R. J., Thoral, Patrick, Ercole, Ari, Hoogendoorn, Mark, Elbers, Paul W. G.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Springer Berlin Heidelberg 2020
Konular:
Systematic Review
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7067741/
https://ncbi.nlm.nih.gov/pubmed/31965266
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00134-019-05872-y
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