Development and utility assessment of a machine learning bloodstream infection classifier in pediatric patients receiving cancer treatments

BACKGROUND: Objectives were to build a machine learning algorithm to identify bloodstream infection (BSI) among pediatric patients with cancer and hematopoietic stem cell transplantation (HSCT) recipients, and to compare this approach with presence of neutropenia to identify BSI. METHODS: We include...

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Detalles Bibliográficos
Autores principales: Sung, Lillian, Corbin, Conor, Steinberg, Ethan, Vettese, Emily, Campigotto, Aaron, Lecce, Loreto, Tomlinson, George A., Shah, Nigam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666525/
https://www.ncbi.nlm.nih.gov/pubmed/33187484
http://dx.doi.org/10.1186/s12885-020-07618-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666525/
https://www.ncbi.nlm.nih.gov/pubmed/33187484
http://dx.doi.org/10.1186/s12885-020-07618-2

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