Machine learning models to predict in-hospital mortality in septic patients with diabetes

BACKGROUND: Sepsis is a leading cause of morbidity and mortality in hospitalized patients. Up to now, there are no well-established longitudinal networks from molecular mechanisms to clinical phenotypes in sepsis. Adding to the problem, about one of the five patients presented with diabetes. For thi...

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Detalles Bibliográficos
Autores principales: Qi, Jing, Lei, Jingchao, Li, Nanyi, Huang, Dan, Liu, Huaizheng, Zhou, Kefu, Dai, Zheren, Sun, Chuanzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709414/
https://www.ncbi.nlm.nih.gov/pubmed/36465642
http://dx.doi.org/10.3389/fendo.2022.1034251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709414/
https://www.ncbi.nlm.nih.gov/pubmed/36465642
http://dx.doi.org/10.3389/fendo.2022.1034251

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