Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time

BACKGROUND: Hyperglycemic crises are associated with high morbidity and mortality. Previous studies have proposed methods to predict adverse outcomes of patients in hyperglycemic crises; however, artificial intelligence (AI) has never been used to predict adverse outcomes. We implemented an AI model...

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Detalles Bibliográficos
Autores principales: Hsu, Chin-Chuan, Kao, Yuan, Hsu, Chien-Chin, Chen, Chia-Jung, Hsu, Shu-Lien, Liu, Tzu-Lan, Lin, Hung-Jung, Wang, Jhi-Joung, Liu, Chung-Feng, Huang, Chien-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594858/
https://www.ncbi.nlm.nih.gov/pubmed/37872536
http://dx.doi.org/10.1186/s12902-023-01437-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594858/
https://www.ncbi.nlm.nih.gov/pubmed/37872536
http://dx.doi.org/10.1186/s12902-023-01437-9

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