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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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