Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID-19 pandemic

BACKGROUND: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has further aggravated food insecurity among vulnerable communities, and thus has...

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Detalles Bibliográficos
Autores principales: Qasrawi, Radwan, Hoteit, Maha, Tayyem, Reema, Bookari, Khlood, Al Sabbah, Haleama, Kamel, Iman, Dashti, Somaia, Allehdan, Sabika, Bawadi, Hiba, Waly, Mostafa, Ibrahim, Mohammed O., Polo, Stephanny Vicuna, Al-Halawa, Diala Abu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505318/
https://www.ncbi.nlm.nih.gov/pubmed/37716999
http://dx.doi.org/10.1186/s12889-023-16694-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505318/
https://www.ncbi.nlm.nih.gov/pubmed/37716999
http://dx.doi.org/10.1186/s12889-023-16694-5

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