Analysis and Exploration of the Influence of Mother's Physical and Mental Health on Infant Growth Based on Random Forest and TOPSIS

The mother's physical and mental health has a certain impact on the baby's physical and psychological development. This paper aims to explore the laws of this related influence. In order to improve mothers' mental health and optimize the quality of mother-infant interaction, this study established a canonical correlation analysis model. Through canonical correlation analysis, we obtained standardized correlation coefficients between maternal physical and mental indicators and infant sleep quality. Relying on the Bayesian classifier, this paper constructs a relationship model between infant behavioral characteristics and maternal physical and mental indicators, and classifies the infant's behavioral characteristics. In addition, we again built a random forest regression model to predict infants' overall sleep quality. On the basis of the original treatment plan, it is enough to reduce the HADS by one point and strengthen the treatment of HADS by one point. The planning model proposed in this article has important reference value for improving infant sleep quality and other aspects.