Table 4 Comparative performance with state-of-the-art models for pediatric gastroenteritis prediction.

From: Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach

Model

Accuracy (%)

Precision

Recall

F1-Score

AUC-ROC

DeepConvNet-GE (2022)

91.2

0.9

0.91

0.9

0.93

ResNet50 + BiLSTM (2023)

93.5

0.92

0.94

0.93

0.95

TabTransformer (2023)

95.3

0.939

0.961

0.95

0.96

XGBoost

92

0.91

0.92

0.91

0.94

VGG-DenseHybridNetClassifier

97

0.96

0.97

0.96

0.98

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