Predicting central line-associated bloodstream infections and mortality using supervised machine lea...
Predicting central line-associated bloodstream infections and mortality using supervised machine learning
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Publisher
United States: Elsevier Inc
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Language
English
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Publisher
United States: Elsevier Inc
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Scope and Contents
Contents
The purpose of this study was to compare machine learning techniques for predicting central line-associated bloodstream infection (CLABSI).
The Multiparameter Intelligent Monitoring in Intensive Care III database was queried for all ICU admissions. The variables included six different severities of illness scores calculated on the first day of I...
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Full title
Predicting central line-associated bloodstream infections and mortality using supervised machine learning
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TN_cdi_proquest_miscellaneous_2009215035
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2009215035
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ISSN
0883-9441
E-ISSN
1557-8615
DOI
10.1016/j.jcrc.2018.02.010
