Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data

Sepsis contributes to 1 of every 5 deaths globally with 3 million per year occurring in children. To improve clinical outcomes in pediatric sepsis, it is critical to avoid “one-size-fits-all” approaches and to employ a precision medicine approach. To advance a precision medicine approach to pediatri...

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Detalles Bibliográficos
Autores principales: Qin, Yidi, Caldino Bohn, Rebecca I., Sriram, Aditya, Kernan, Kate F., Carcillo, Joseph A., Kim, Soyeon, Park, Hyun Jung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923004/
https://www.ncbi.nlm.nih.gov/pubmed/36793336
http://dx.doi.org/10.3389/fped.2023.1035576

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923004/
https://www.ncbi.nlm.nih.gov/pubmed/36793336
http://dx.doi.org/10.3389/fped.2023.1035576

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