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

• Main Authors: Radwan Qasrawi (Author), Maha Hoteit (Author), Reema Tayyem (Author), Khlood Bookari (Author), Haleama Al Sabbah (Author), Iman Kamel (Author), Somaia Dashti (Author), Sabika Allehdan (Author), Hiba Bawadi (Author), Mostafa Waly (Author), Mohammed O. Ibrahim (Author), The Regional CORONA COOKING Survey Group (Author), Stephanny Vicuna Polo (Author), Diala Abu Al-Halawa (Author)
• Format: Book
• Published: BMC, 2023-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract 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 t...