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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Detalles Bibliográficos
Autores principales: Jakob, Carolin, Classen, Annika, Stecher, Melanie, Fuhrmann, Sandra, Franke, Bernd, Fuchs, Frieder, Walker, Sarah, Cornely, Oliver, Janne Vehreschild, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810153/
http://dx.doi.org/10.1093/ofid/ofz360.1867

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810153/
http://dx.doi.org/10.1093/ofid/ofz360.1867

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