Mortality prediction in patients with hyperglycaemic crisis using explainable machine learning: a prospective, multicentre study based on tertiary hospitals

BACKGROUND: Experiencing a hyperglycaemic crisis is associated with a short- and long-term increased risk of mortality. We aimed to develop an explainable machine learning model for predicting 3-year mortality and providing individualized risk factor assessment of patients with hyperglycaemic crisis...

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Detalles Bibliográficos
Autores principales: Xie, Puguang, Yang, Cheng, Yang, Gangyi, Jiang, Youzhao, He, Min, Jiang, Xiaoyan, Chen, Yan, Deng, Liling, Wang, Min, Armstrong, David G., Ma, Yu, Deng, Wuquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007769/
https://www.ncbi.nlm.nih.gov/pubmed/36899433
http://dx.doi.org/10.1186/s13098-023-01020-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007769/
https://www.ncbi.nlm.nih.gov/pubmed/36899433
http://dx.doi.org/10.1186/s13098-023-01020-1

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