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

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

Abstract Pediatric gastroenteritis is a major reason for sickness and death among children worldwide, especially in places where healthcare and clean sanitation are scarce. Conventional methods of diagnosis overlook possible risks and seasonal trends, which results in patients receiving treatment to...

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Main Authors: P. T. Pranesh, Carmelin Durai Singh, Anand Sivanandam, Raman Muthusamy, Swati Sharma, Taha Alqahtani, Humood Al Shmrany, Daniel Ejim Uti
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Paediatric gastro-enteritis
VGG-DenseHybridNetClassifier
VGG16
DenseNet
Deep learning (DL)
Risk factors
Online Access:https://doi.org/10.1038/s41598-025-08718-4
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https://doi.org/10.1038/s41598-025-08718-4

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