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Prediction of cardiovascular mortality based on Grey Markov model
Vol 2, Issue 1, 2021
Issue release: 30 June 2021
VIEWS - 2971 (Abstract)
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Abstract
With the development of society and economy, the number of cardiovascular diseases continues to increase. Accurate prediction of cardiovascular mortality can guide the prevention of cardiovascular events and the sustainable development of public health. This paper mainly studies the grey Markov prediction model of cardiovascular disease mortality, proposes an improved grey Markov prediction model, and then uses the statistical data of cardiovascular disease mortality in rural and urban areas from 1991 to 2018 for numerical simulation. The simulation results show that the improved grey Markov prediction model is effective.
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References
1. National Cardiovascular Center China. National Cardiovascular Center China cardiovascular disease report (Chinese). China Encyclopedia press; 2019.
2. Editorial staff of China Health Statistical Yearbook (Chinese). China Health Statistical Yearbook. Beijing: China Union Medical College Press; 2019.
3. Li L, Rao K, Kong L, et al. Survey on nutrition and health status of Chinese residents in 2002 (Chinese). Chinese Journal of epidemiology. 2005; 26(7): 478–484.
4. Liu S. Grey system theory and its application (Chinese). Science Press; 2008.
5. Xiao Z, Li H. Application of Grey Theory in urban land price prediction - a case study of Xiamen City (Chinese). Jiangxi science. 2011; 29(5): 663–666.
6. Sun A. Prediction of power demand in Xi’an Based on metabolic grey prediction model. Practice and understanding of mathematics (Chinese). 2019; 49(23): 298–305.
7. Huang Y, Peng J, Li C, et al. Application of Markov theory in medium and long term load forecasting (Chinese). Journal of power system and automation. 2011; 23(5): 131–136.
8. Zhou Z, Fu Z, Wang R, et al. Application of Grey Markov model in cotton yield prediction (Chinese). Statistics and decision making. 2005; 183 (2): 48–49.
9. Liu M. Grey prediction model and its application in power demand (Chinese). Xi’an University of architecture and technology; 2012.
10. Yellow steel. Research on emergency blood support characteristics and demand prediction model for unconventional emergencies (Chinese). Southwest Jiaotong University; 2012.
11. Editorial board of China Health Yearbook (Chinese). China Health Yearbook. People’s Health Publishing House; 1992–2002.
12. Xu H, Gao X. Numerical differentiation algorithm based on integral (Chinese). Jiangxi science. 2014; 32(1): 1–4.
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Copyright (c) 2021 Zikuan Wang, Haiwen Yu
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Prof. Prakash Deedwania
University of California,
San Francisco, United States
