A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children

A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children

Background Rotavirus is the leading cause of severe dehydrating diarrhea in children under 5 years worldwide. Timely diagnosis is critical, but access to confirmatory testing is limited in hospital settings. Machine learning (ML) models have shown promising potential in supporting symptom-based diag...

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Bibliographic Details
Main Authors: Sourav Paul, Minhazur Rahman, Anutee Dolley, Kasturi Saikia, Chongtham Shyamsunder Singh, Arifullah Mohammed, Ghazala Muteeb, Rosy Sarmah, Nima D. Namsa
Format: Article
Language:English
Published: PeerJ Inc. 2025-04-01
Series:PeerJ
Subjects:
Rotavirus
Gastroenteritis
Machine learning
Disease diagnosis
Supervised learning
Child health
Online Access:https://peerj.com/articles/19025.pdf
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