Machine learning derivation of four computable 24-h pediatric sepsis phenotypes to facilitate enrollment in early personalized anti-inflammatory clinical trials

BACKGROUND: Thrombotic microangiopathy-induced thrombocytopenia-associated multiple organ failure and hyperinflammatory macrophage activation syndrome are important causes of late pediatric sepsis mortality that are often missed or have delayed diagnosis. The National Institutes of General Medical S...

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Detalles Bibliográficos
Autores principales: Qin, Yidi, Kernan, Kate F., Fan, Zhenjiang, Park, Hyun-Jung, Kim, Soyeon, Canna, Scott W., Kellum, John A., Berg, Robert A., Wessel, David, Pollack, Murray M., Meert, Kathleen, Hall, Mark, Newth, Christopher, Lin, John C., Doctor, Allan, Shanley, Tom, Cornell, Tim, Harrison, Rick E., Zuppa, Athena F., Banks, Russell, Reeder, Ron W., Holubkov, Richard, Notterman, Daniel A., Michael Dean, J., Carcillo, Joseph A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077858/
https://www.ncbi.nlm.nih.gov/pubmed/35526000
http://dx.doi.org/10.1186/s13054-022-03977-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077858/
https://www.ncbi.nlm.nih.gov/pubmed/35526000
http://dx.doi.org/10.1186/s13054-022-03977-3

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