The level of significance was set at p ≤ 0.05 for all analyses, with p ≤ 0.001 indicating highly significant differences for variables showing particularly strong associations with food security status. 3.
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Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years.
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