A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children - Paul, Sourav; Rahman, Minhazur; Dolley, Anutee; Saikia, Kasturi; Shyamsunder Singh, Chongtham; Mohammed, Arifullah; Muteeb, Ghazala; Sarmah, Rosy; Namsa, Nima D. (PeerJ (San Francisco, CA), 2025)
Keywords: Accuracy; Artificial intelligence; Bayes Theorem; Child health; Child, Preschool; Children; Collinearity; Computational Biology; Computer-aided medical diagnosis; Correlation analysis; Data Mining and Machine Learning; Datasets; Decision Trees; Dehydration; Developing countries; Diagnosis; Diarrhea; Diarrhea - virology; Disease diagnosis; Female; Gastroenteritis; Gastroenteritis - diagnosis; Gastroenteritis - virology; Gastroenterology and Hepatology; Health aspects; Humans; Immunization; India; Infant; Infectious Diseases; LDCs; Learning algorithms; Machine Learning; Male; Medical science; Methods; Mortality; Pediatrics; Prediction models; Recall; Retrospective Studies; Rotavirus; Rotavirus infections; Rotavirus Infections - complications; Rotavirus Infections - diagnosis; Supervised learning; Support Vector Machine; Support vector machines; Variance analysis; Vomiting; India; South Africa; Rotavirus; Disease diagnosis; Supervised learning; Gastroenteritis; Child health; Machine learning