Predicting bloodstream infection outcome using machine learning

Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwide. Early prediction of BSI patients at high risk of poor outcomes is important for earlier decision making and effective patient stratification. We developed electronic medical record-based machine le...

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Detalles Bibliográficos
Autores principales: Zoabi, Yazeed, Kehat, Orli, Lahav, Dan, Weiss-Meilik, Ahuva, Adler, Amos, Shomron, Noam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505419/
https://www.ncbi.nlm.nih.gov/pubmed/34635696
http://dx.doi.org/10.1038/s41598-021-99105-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505419/
https://www.ncbi.nlm.nih.gov/pubmed/34635696
http://dx.doi.org/10.1038/s41598-021-99105-2

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