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...

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Bibliographic Details

Published in:	International Emergency Nursing Vol. 83
Main Authors:	Nikentari, Lintang Arum, Kristianto, Heri, Yuliatun, Laily, Haedar, Ali, Tirma Irawan, Paulus Lucky
Format:	research Journal Article
Published:	Elsevier B.V. Dec2025
Online Access:	View this record in EBSCOhost