On classifying sepsis heterogeneity in the ICU: insight using machine learning

OBJECTIVES: Current machine learning models aiming to predict sepsis from electronic health records (EHR) do not account 20 for the heterogeneity of the condition despite its emerging importance in prognosis and treatment. This work demonstrates the added value of stratifying the types of organ dysf...

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Detalles Bibliográficos
Autores principales: Ibrahim, Zina M, Wu, Honghan, Hamoud, Ahmed, Stappen, Lukas, Dobson, Richard J B, Agarossi, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025363/
https://www.ncbi.nlm.nih.gov/pubmed/31951005
http://dx.doi.org/10.1093/jamia/ocz211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025363/
https://www.ncbi.nlm.nih.gov/pubmed/31951005
http://dx.doi.org/10.1093/jamia/ocz211

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