Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia

Background: Early and appropriate empiric antibiotic treatment of patients suspected of having sepsis is associated with reduced mortality. The increasing prevalence of antimicrobial resistance reduces the efficacy of empiric therapy guidelines derived from population data. This problem is particula...

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Detalles Bibliográficos
Autores principales: Oonsivilai, Mathupanee, Mo, Yin, Luangasanatip, Nantasit, Lubell, Yoel, Miliya, Thyl, Tan, Pisey, Loeuk, Lorn, Turner, Paul, Cooper, Ben S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352926/
https://www.ncbi.nlm.nih.gov/pubmed/30756093
http://dx.doi.org/10.12688/wellcomeopenres.14847.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352926/
https://www.ncbi.nlm.nih.gov/pubmed/30756093
http://dx.doi.org/10.12688/wellcomeopenres.14847.1

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