A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients

Background: Although numerous studies are conducted every year on how to reduce the fatality rate associated with sepsis, it is still a major challenge faced by patients, clinicians, and medical systems worldwide. Early identification and prediction of patients at risk of sepsis and adverse outcomes...

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Detalles Bibliográficos
Autores principales: Wang, Dong, Li, Jinbo, Sun, Yali, Ding, Xianfei, Zhang, Xiaojuan, Liu, Shaohua, Han, Bing, Wang, Haixu, Duan, Xiaoguang, Sun, Tongwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553999/
https://www.ncbi.nlm.nih.gov/pubmed/34722452
http://dx.doi.org/10.3389/fpubh.2021.754348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553999/
https://www.ncbi.nlm.nih.gov/pubmed/34722452
http://dx.doi.org/10.3389/fpubh.2021.754348

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