Maternal And Child Health Study Based on Decision Tree and Partial Least Squares Regression

Abstract

The physical and mental health of mothers plays a crucial role in the development of infants. In this paper, the influence of mothers' physical and mental indicators on infants' behavioral characteristics, the comprehensive sleep quality assessment system, and the treatment plan for mental illnesses are studied in depth. First, the decision tree model is used to explore the relationship between mothers' physical and psychological indicators on infants' behavioral characteristics. Second, a linear programming model was developed between the degree of illness and the scores of the three psychological indicators to derive the minimum cost of the mother's psychotherapeutic program that can change the infant's behavioral characteristics. Finally, the infant sleep quality indicators were graded, the weights of each sleep quality indicator were calculated using AHP hierarchical analysis, and the formula for calculating the sleep quality grade was derived using a partial least squares regression model. The study in this paper evaluates the physical and psychological indicators of mothers in a scientific way, thus ensuring the quality of mother-infant interaction.