Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers

BACKGROUND: The bacteraemia prediction is relevant because sepsis is one of the most important causes of morbidity and mortality. Bacteraemia prognosis primarily depends on a rapid diagnosis. The bacteraemia prediction would shorten up to 6 days the diagnosis, and, in conjunction with individual pat...

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Detalles Bibliográficos
Autores principales: Garnica, Oscar, Gómez, Diego, Ramos, Víctor, Hidalgo, J. Ignacio, Ruiz-Giardín, José M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405861/
https://www.ncbi.nlm.nih.gov/pubmed/34484472
http://dx.doi.org/10.1007/s13167-021-00252-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405861/
https://www.ncbi.nlm.nih.gov/pubmed/34484472
http://dx.doi.org/10.1007/s13167-021-00252-3

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