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2187. Prediction of Patient Outcome During Febrile Neutropenia Despite Anti-infective Treatment Using Machine Learning Algorithms

BACKGROUND: Clinical management of prolonged febrile neutropenia despite broad-spectrum empirical antibacterial treatment is a clinical challenge, as standard empirical treatment has failed and a broad spectrum of differential diagnoses has to be considered. Growing prevalence of multi-resistant bac...

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Bibliographische Detailangaben
Veröffentlicht in:Open Forum Infect Dis
Hauptverfasser: Jakob, Carolin, Classen, Annika, Stecher, Melanie, Fuhrmann, Sandra, Franke, Bernd, Fuchs, Frieder, Walker, Sarah, Cornely, Oliver, Janne Vehreschild, Jörg
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2019
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6810153/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ofid/ofz360.1867
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