AIMC Topic: Gastroenteritis

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

PeerJ Apr 14, 2025
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 p...
Gastroenteritis Bayes Theorem Rotavirus Rotavirus Infections Support Vector Machine Decision Trees Female Male Infant Child, Preschool Diarrhea India Humans Machine Learning Retrospective Studies
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Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.

Parasites & vectors Jan 29, 2025
BACKGROUND: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples. Howeve...
Young Adult Adult Male Female Aged Child, Preschool Child Feces Middle Aged Infant Adolescent Humans Machine Learning Algorithms Electronic Health Records Data Mining Gastroenteritis Jordan Decision Trees Amebiasis
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Machine Learning and Imputation to Characterize Human Norovirus Genotype Susceptibility to Sodium Hypochlorite.

Food and environmental virology Sep 11, 2024
Human norovirus (HuNoV) is the leading cause of foodborne illness in the developed world and a major contributor to gastroenteritis globally. Its low infectious dose and environmental persistence necessitate effective disinfection protocols. Sodium h...
Machine Learning Genotype Disinfection Caliciviridae Infections Sodium Hypochlorite Norovirus Disinfectants Gastroenteritis Humans
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Development of artificial intelligence approach to forecasting oyster norovirus outbreaks along Gulf of Mexico coast.

Environment international Dec 20, 2017
This paper presents an artificial intelligence-based model, called ANN-2Day model, for forecasting, managing and ultimately eliminating the growing risk of oyster norovirus outbreaks. The ANN-2Day model was developed using Artificial Neural Network (...
Gulf of Mexico Humans Norovirus Neural Networks, Computer Gastroenteritis Disease Outbreaks Forecasting Caliciviridae Infections Temperature Risk Animals Ostreidae Public Health
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Verification and large scale clinical evaluation of a national standard protocol for Salmonella spp./Shigella spp. screening using real-time PCR combined with guided culture.

Journal of microbiological methods Dec 17, 2017
Salmonella spp./Shigella spp. are often associated with food poisoning and fecal-oral transmission of acute gastroenteritis that requires strict monitoring, especially among people who would handle food and water. In 2014, the National Health and Fam...
Gastroenteritis Shigella Feces Humans Sensitivity and Specificity Mass Screening Reproducibility of Results China Limit of Detection Salmonella Time Factors Real-Time Polymerase Chain Reaction
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An oral norovirus vaccine generates mucosal immunity and reduces viral shedding in a phase 2 placebo-controlled challenge study.

Science translational medicine May 14, 2025
There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gastroenteritis worldwide. Clinical advancement of promising vaccine candidates from phase 2 studies to phase 3 field trials has been hampered by the lack...
Vaccination Administration, Oral Gastroenteritis Feces Antibodies, Viral Humans Norovirus Virus Shedding Female Placebos Immunoglobulin A Adult Young Adult Immunity, Mucosal Caliciviridae Infections Male Viral Vaccines
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