Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model

OBJECTIVE: Early identifying sepsis patients who had higher risk of poor prognosis was extremely important. The aim of this study was to develop an artificial neural networks (ANN) model for early predicting clinical outcomes in sepsis. METHODS: This study was a retrospective design. Sepsis patients...

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Detalles Bibliográficos
Autores principales: Su, Yingjie, Guo, Cuirong, Zhou, Shifang, Li, Changluo, Ding, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758460/
https://www.ncbi.nlm.nih.gov/pubmed/36528689
http://dx.doi.org/10.1186/s40001-022-00925-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758460/
https://www.ncbi.nlm.nih.gov/pubmed/36528689
http://dx.doi.org/10.1186/s40001-022-00925-3

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