Assessment of the timeliness and robustness for predicting adult sepsis

Sepsis is a leading cause of death among inpatients at hospitals. However, with early detection, death rate can drop substantially. In this study, we present the top-performing algorithm for Sepsis II prediction in the DII National Data Science Challenge using the Cerner Health Facts data involving...

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Detalles Bibliográficos
Autores principales: Guan, Yuanfang, Wang, Xueqing, Chen, Xianghao, Yi, Daiyao, Chen, Luyao, Jiang, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895752/
https://www.ncbi.nlm.nih.gov/pubmed/33659874
http://dx.doi.org/10.1016/j.isci.2021.102106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895752/
https://www.ncbi.nlm.nih.gov/pubmed/33659874
http://dx.doi.org/10.1016/j.isci.2021.102106

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