Abstract
Early childhood education is the cornerstone of children's education, and traditional preschool education methods have been unable to meet parents' expectations. The concept of smart kindergarten came into being. The traditional evaluation method can no longer adapt to the development of kindergarten. Therefore, it is very important to design a more scientific and reasonable infant health assessment model. Taking a kindergarten as the background, we have established a behavioral characteristic-based children's health assessment model to create a smart kindergarten. By optimizing traditional evaluation methods and combining innovative evaluation methods, a child health development evaluation model based on AHP-BPNN and a health evaluation model based on machine learning are proposed. Finally, the infant protection experts gave a comprehensive analysis of the weight gain. The assessment mode adopted by this kindergarten now reduces the pressure on the caregivers. This evaluation model has strong applicability and can be promoted in other kindergartens.
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