Functional gastrointestinal disorders predictors in neonates and toddlers: A machine learning approach to risk assessment

Functional gastrointestinal disorders predictors in neonates and toddlers: A machine learning approach to risk assessment

Background: Functional Gastrointestinal Disorders (FGIDs) can pose a great burden on affected children, their families, and the healthcare system. Due to the lack of knowledge about the precise pathophysiology of FGIDs, a proper identification of children at risk to develop FGIDs has never been atte...

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Main Authors: Flavia Indrio, Elio Masciari, Flavia Marchese, Matteo Rinaldi, Gianfranco Maffei, Ilaria Gangai, Assunta Grillo, Roberta De Benedetto, Enea Vincenzo Napolitano, Isadora Beghetti, Luigi Corvaglia, Antonio Di Mauro, Arianna Aceti
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Functional gastrointestinal disorders
Neonatal risk prediction
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024175470
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