An interpretable deep-learning model for early prediction of sepsis in the emergency department

Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. Early prediction of sepsis improves survival in septic patients. In this paper, we report our top-performing method in the 2019 DII National Data Science Challenge to predict onset of sepsis 4 h before it...

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Detalles Bibliográficos
Autores principales: Zhang, Dongdong, Yin, Changchang, Hunold, Katherine M., Jiang, Xiaoqian, Caterino, Jeffrey M., Zhang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892361/
https://www.ncbi.nlm.nih.gov/pubmed/33659912
http://dx.doi.org/10.1016/j.patter.2020.100196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892361/
https://www.ncbi.nlm.nih.gov/pubmed/33659912
http://dx.doi.org/10.1016/j.patter.2020.100196

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