Correlation model of maternal and infant health indicators based on random forest and TOPSIS

This paper discusses the influence of mother's physical and mental health on baby's growth. Using Spearman correlation analysis, the law is obtained; Using random forest method, the relationship model between infant behavior characteristics and mother's physical index and psychological index is constructed to judge the type of behavior characteristics. The linear programming model of disease score and treatment cost is established to solve the cost of treatment scheme to adjust behavior characteristics. The correlation model of infant's comprehensive sleep quality with mother's physical index and psychological index is constructed to predict infant's comprehensive sleep quality. In addition, we analyze the sensitivity and error of the model, and evaluate, improve and popularize it objectively and fairly.