Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

BACKGROUND: Sepsis is one of the leading causes of mortality in hospitalized patients. Despite this fact, a reliable means of predicting sepsis onset remains elusive. Early and accurate sepsis onset predictions could allow more aggressive and targeted therapy while maintaining antimicrobial stewards...

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Bibliographische Detailangaben
Veröffentlicht in:JMIR Med Inform
Hauptverfasser: Desautels, Thomas, Calvert, Jacob, Hoffman, Jana, Jay, Melissa, Kerem, Yaniv, Shieh, Lisa, Shimabukuro, David, Chettipally, Uli, Feldman, Mitchell D, Barton, Chris, Wales, David J, Das, Ritankar
Format: Artigo
Sprache:Inglês
Veröffentlicht: JMIR Publications 2016
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Original Paper
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5065680/
https://ncbi.nlm.nih.gov/pubmed/27694098
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/medinform.5909
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