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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (4): 80-89    DOI: 10.11925/infotech.2096-3467.2018.0631
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Research on Disease Risk Factors on Structural Equation Model
Dongmei Mu1(),Hui Fa1,Ping Wang1,Jing Sun2
1School of Public Health, Jilin University, Changchun 130021, China
2China-Japan Union Hospital of Jilin University, Changchun 130033, China
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[Objective] This paper aims to use the structural equation model to analyze the objective index data and explore the risk factors related to the disease. [Methods] Based on literature research and linear correlation analysis, this paper extracts disease risk factors. Structural Equation modeling was used to analyze these risk factors. The disease diagnosis model was constructed using the classification regression tree (CART) algorithm, and risk factors were qualitatively and quantitatively evaluated and compared using diagnostic models. [Results] Nine risk factors related to disease were discovered. After quantitative evaluation, the indicators of disease risk factors diagnosis model based on Structural Equation Modeling were at a high level, and the overall performance was better. [Limitations] The amount of experimental data is limited, and the amount of data can be expanded to conduct experiments in the future. [Conclusions] Disease risk factors based on structural equation model can improve the early diagnosis rate of disease and can assist clinical decision-making.

Key wordsStructural Equation Modeling      Disease Risk Factors      Data Mining      Disease Diagnosis     
Received: 11 June 2018      Published: 29 May 2019

Cite this article:

Dongmei Mu,Hui Fa,Ping Wang,Jing Sun. Research on Disease Risk Factors on Structural Equation Model. Data Analysis and Knowledge Discovery, 2019, 3(4): 80-89.

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