Study of Mother-infant Behavioural Relationships based on Structural Equation Modelling and LightGBM Regression Models

Authors

  • Zhiyuan Lu

DOI:

https://doi.org/10.54691/m7eqms74

Keywords:

SEM; Factor Node; LightGBM.

Abstract

In this paper, the relationship between mothers' physical and mental health and infants' behavior was investigated. Structural equation modeling (SEM) was used to analyze the standardized data, analyze the relationship between the influence of the paths of each factor, understand the composition of the paths of each factor node from a global perspective, and filter the quantitative variables within the factor through the factor loading coefficients, record the standardized coefficients and test the significance of the data to eliminate invalid paths, which in turn led to the correlation law. At the same time, the relationship model of the infant's behavioral characteristics with the mother's physical and psychological indicators was established using the LightGBM regression model for classification, so as to establish the relationship model, and get the model with good performance.

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References

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Published

2024-07-26

Issue

Section

Articles

How to Cite

Lu, Zhiyuan. 2024. “Study of Mother-Infant Behavioural Relationships Based on Structural Equation Modelling and LightGBM Regression Models”. Scientific Journal of Intelligent Systems Research 6 (7): 1-9. https://doi.org/10.54691/m7eqms74.