Predicting triage of pediatric patients in the emergency department using machine learning approach

Table 4 Comparing our study’s findings with previous research demonstrated the strength of our ML models in CTAS triage prediction

	Models Used	Accuracy	Precision	Recall	F1-score
Current Study (KAUH Dataset)	SVM, RF, GNB, LGBM	98.4% (GNB)	97.6%	97.2%	97.5%
Hall et al. (2023) [30]	ML Acuity Score Model	93.5%	92.8%	91.6%	92.2%
Chen et al. (2023) [32]	Deep Neural Network (DNN)	95.1%	94.3%	93.7%	94.0%
Porto (2024) [10]	XGBoost, RF	96.2%	95.7%	94.9%	95.3%

ISSN: 1865-1380