Predicting food insecurity in a pediatric population using the electronic health record

Abstract Introduction: More than 5 million children in the United States experience food insecurity (FI), yet little guidance exists regarding screening for FI. A prediction model of FI could be useful for healthcare systems and practices working to identify and address children with FI. Our objec...

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Autori principali:	Joseph Rigdon, Kimberly Montez, Deepak Palakshappa, Callie Brown, Stephen M. Downs, Laurie W. Albertini, Alysha Taxter
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Cambridge University Press 2024-01-01
Serie:	Journal of Clinical and Translational Science
Soggetti:	Food insecurity pediatrics prediction modeling machine learning electronic health record
Accesso online:	https://www.cambridge.org/core/product/identifier/S2059866124006459/type/journal_article
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