Artificial intelligence for improved decision-making in diabetic emergency survival: A cross-sectional study.
• The Random Forest model accurately predicted survival in diabetic emergency patients, achieving an AUC of 0.96 • Patients categorized under immediate triage (P1) had significantly better survival outcomes • Integrating AI-driven predictive tools into emergency nursing workflows may enhance triage...
| Publicado en: | International Emergency Nursing Vol. 83 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |