A Study of Population Physical Health Rating Model and Its Correlation Based on Multilevel Constructs

Authors

  • Chao Liang
  • Chen Zhang

DOI:

https://doi.org/10.54097/abh0c017

Keywords:

Multilevel evaluation modeling, MRMR feature selection, population health, chronic diseases.

Abstract

This paper conducts a detailed study on the correlation between residents' dietary and living habits and common chronic diseases. Firstly, the paper constructs and analyzes a multilevel evaluation model for the data in the annex; secondly, it uses the MRMR feature selection model to explore the relationship between age, gender and other factors and residents' living habits and dietary habits; and lastly, it puts forward a series of recommendations for the residents' physical health.

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References

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SUN Lin,XU Feng,LI Shuo et al. Multi-marker feature selection based on ReliefF and maximum correlation minimum redundancy[J/OL]. Journal of Henan Normal University (Natural Science Edition):1-9[2023-09-24]. http://kns.cnki.net/kcms/detail/41.1109.n.20230625.1558.002.html.

. Dietary Guidelines for Chinese Residents (2022) released in Beijing[J]. Journal of Nutrition,2022,44(06): 521-522.DOI: 10.13325/j.cnki.acta.nutr.sin.2022.06.019.

Yanyan Wang,Wenjie Zhao,Lijun Qi. Precast supplier partner selection based on CRITIC and TOPSIS[J]. Project Management Technology,2023,21(09):86-91.

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Li Xiaolu,Chen Shaoqing. Comprehensive evaluation and spatial analysis of new urbanization development level in Jiangsu Province based on entropy weight TOPSIS[J]. Popular Standardization,2023(18):93-96.

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Published

31-12-2023

How to Cite

Liang, C., & Zhang, C. (2023). A Study of Population Physical Health Rating Model and Its Correlation Based on Multilevel Constructs. Journal of Education, Humanities and Social Sciences, 24, 841-849. https://doi.org/10.54097/abh0c017