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Academic Journal of Medicine & Health Sciences, 2021, 2(1); doi: 10.25236/AJMHS.2021.020105.

Research on resident Health level and Measurement and Control Model based on Index system and Entropy method


Cheng Wei

Corresponding Author:
Cheng Wei

International Business School, Chongqing Technology and Business University, Chongqing, 400067, China 


In order to thoroughly implement the spirit of the National and Provincial Health and Health Conference, this action plan is formulated according to the outline of the healthy China 2030 Plan and combined with the reality of Shenzhen. In this paper, principal component analysis and mutation series evaluation are mainly used to solve the health problems of Shenzhen residents. First of all, this paper analyzes the factors that affect the health level of residents, determines the corresponding indicators and constructs a three-tier index system, including 21 indicators. As there may be a certain correlation between the indicators in the established index system, and the correlation between the indicators will produce repeated information for the evaluation of residents' health level, so the independent indicators are reduced by principal component analysis. Finally, the catastrophe series method is used to calculate the independent principal components. Then the indicators within the framework are analyzed and screened to determine the index system of population health assessment; finally, the social public health and environment and individual residents are evaluated by entropy method and fuzzy evaluation. Find out the main health problems of Shenzhen residents and analyze the potential influencing factors, and put forward suggestions for health promotion and health intervention.


Principal component analysis, Catastrophe series, Analytic hierarchy process of evaluation, level of health

Cite This Paper

Cheng Wei. Research on resident Health level and Measurement and Control Model based on Index system and Entropy method. Academic Journal of Medicine & Health Sciences (2021) Vol. 2, Issue 1: 20-24. https://doi.org/10.25236/AJMHS.2021.020105.


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