Machine-learning-based modeling of the mother-infant health relationship

Yanmin Li

doi:10.1117/12.3036683

13 July 2024 Machine-learning-based modeling of the mother-infant health relationship

Yanmin Li

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 132082K (2024) https://doi.org/10.1117/12.3036683
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

The aim of this study is to investigate the effects of mothers' physical and mental health on infants' behavior. The model of the relationship between infants' behavioral characteristics and mothers' physical and mental indicators was established by machine learning classification methods. Eventually, 20 groups of infant behavioral characteristic types were identified. The results of the study show that the physical and mental health of mothers has an important impact on the behavioral characteristics of infants, and the machine learning method can effectively predict the behavioral characteristics of infants and provide a basis for the development of a personalized treatment plan, which is of great significance for optimizing infant development and improving the health of mothers and infants.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanmin Li "Machine-learning-based modeling of the mother-infant health relationship", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 132082K (13 July 2024); https://doi.org/10.1117/12.3036683

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