Machine Learning To Predict Serious Bacterial Infections in Young Febrile Infants
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DOI: 10.1542/peds.2019-4096
Abstract: In this study, we investigate the accuracy of supervised learning algorithms for the prediction of SBIs in young febrile infants using a multicenter prospective data set. BACKGROUND: Recent decision rules for the management of febrile… read more here.
Keywords: machine; machine learning; serious bacterial; young febrile ... See more keywords