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Research Status of Lifestyle-Related Diseases in China Based on Big Data Analysis

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

To investigate the research status and development trend of Lifestyle-Related Diseases in China based on big data analysis, and to provide reference for their further research. METHODS: The databases of CNKI, Wanfang and Superstar Discovery were retrieved, and bibliometrics was used to analyze the big data of Chinese medical network literature on lifestyle-related diseases. RESULTS: A total of 7,636 kinds of literature were retrieved, and after screening there are 473 types of literature, including 397 journal papers, 50 conference papers, 15 master’s degree papers and 11 monographs. The first paper was published in 1987; the provinces/municipalities with more than 20 publications were Beijing, Shandong, Jiangsu, Guangdong, Hubei and Liaoning. There were 1,002 authors involved, and the degree of cooperation was 2.12; 29 papers were supported by the fund (6.28%); 164 papers were not cited (35.50%). CONCLUSION: In recent years, the study on Lifestyle-Related Diseases has attracted much attention, and the amount of relative published papers is on the rise, however the profundity and the depth of the study is not far enough. There are not many experts deeply working on this field. Even for the researchers in this field, the published amount of the articles is quite small and limited. The lack of continuity on the research of Lifestyle-Related Diseases is another major problem. Therefore, China needs to scale up the study and improve the research quality to obtain more research results, and provide more reference for future researchers.

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Correspondence to Xin Peng .

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Chen, Y., Peng, X. (2021). Research Status of Lifestyle-Related Diseases in China Based on Big Data Analysis. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_66

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