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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Intensive Care Med
मुख्य लेखकों: 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.
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Springer Berlin Heidelberg 2020
विषय:
Systematic Review
ऑनलाइन पहुंच: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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