Al Quds University Researcher Releases New Study Findings on Malnutrition (Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years).

Zdroj: Health & Medicine Week; 7/26/2024, p862-862, 1p
Abstrakt: A recent study conducted by researchers at Al Quds University examined the impact of food insecurity on the nutrient consumption and malnutrition of children aged 6 months to 5 years. Using machine learning algorithms, the study analyzed data from 819 children in the West Bank and found that 18.1% of children faced food insecurity. Children from food-insecure environments exhibited lower average weight, height, and mid-upper arm circumference compared to their food-secure counterparts. The study identified specific nutrients, such as vitamin B1, vitamin K1, vitamin A, zinc, choline, and carbohydrates, as key indicators of malnutrition. The findings provide valuable information for targeted interventions and policymaking to address the differential risks for growth issues among children. [Extracted from the article]
Databáze: Supplemental Index