Predicting bloodstream infection outcome using machine learning.
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ABSTRACT:
SUBMITTER: Zoabi Y
PROVIDER: S-EPMC8505419 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
Publications
Predicting bloodstream infection outcome using machine learning.
Zoabi Yazeed Y Kehat Orli O Lahav Dan D Weiss-Meilik Ahuva A Adler Amos A Shomron Noam N
Scientific reports 20211011 1
Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwide. Early prediction of BSI patients at high risk of poor outcomes is important for earlier decision making and effective patient stratification. We developed electronic medical record-based machine learning models that predict patient outcomes of BSI. The area under the receiver-operating characteristics curve was 0.82 for a full featured inclusive model, and 0.81 for a compact model using only 25 ...[more]
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