Machine learning-based algorithms to identify factors associated with inadequate meal frequency among children aged 6–23 months in Somalia: Evidence from the Somalia Demographic and Health Survey 2020

Key Points

• Inadequate meal frequency is linked to several factors including maternal education and poverty levels.
• Machine learning approaches effectively highlight critical associations within demographic data from Somalia.
• The analysis draws on the Somalia Demographic and Health Survey conducted in 2020, ensuring relevant contextual data.
• Targeted interventions may significantly improve child nutrition, addressing urgent public health challenges.