Research on the establishment of a risk prediction model for multiple chronic diseases in the elderly based on big data

LUO Yao; DENG Xue-xue; XU Xiao-ru; FANG Rong-hua

doi:10.16766/j.cnki.issn.1674-4152.002216

Volume 19 Issue 12

Dec. 2021

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Article Navigation > Chinese Journal of General Practice > 2021 > 19(12): 1979-1982

LUO Yao, DENG Xue-xue, XU Xiao-ru, FANG Rong-hua. Research on the establishment of a risk prediction model for multiple chronic diseases in the elderly based on big data[J]. Chinese Journal of General Practice, 2021, 19(12): 1979-1982. doi: 10.16766/j.cnki.issn.1674-4152.002216

Citation:

LUO Yao, DENG Xue-xue, XU Xiao-ru, FANG Rong-hua. Research on the establishment of a risk prediction model for multiple chronic diseases in the elderly based on big data[J]. Chinese Journal of General Practice, 2021, 19(12): 1979-1982. doi: 10.16766/j.cnki.issn.1674-4152.002216

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Research on the establishment of a risk prediction model for multiple chronic diseases in the elderly based on big data

doi: 10.16766/j.cnki.issn.1674-4152.002216

LUO Yao^{1, 2}
, DENG Xue-xue^{1, 2}
, XU Xiao-ru^{1, 2}
, FANG Rong-hua^{1, 2
,
,}

1.
International Medical Center, West China Hospital/West China School of Nursing, Sichuan University, Chengdu, Sichuan 610041, China

Funds:

2020YFS0151

HXHL19021

Received Date: 2020-08-24
Available Online: 2022-03-02

Abstract

Abstract

The aging of population has become a major worldwide social problem. The elderly population in China had exceeded 254 million. High morbidity and co-morbidity of chronic diseases in the elder have led to reduce quality of their life, the increase of disability rate, mortality rate and obviously increased medical expenditures, which bring heavy burden to family and society. At present, based on the application of new technologies, such as internet of things, big data and artificial intelligence in the medical industry, traditional chronic disease management will be challenged. The development of smart medicine is the strategic need of medical health reform, as well as the inevitable trend of industry innovation, and gradually becomes the source power of disease diagnosis and risk prediction. Developing accurate and effective early diagnosis and screening technology, establishing perfect disease general survey system, risk assessment and early warning system are the key points to prevent and treat chronic diseases. Foreign countries have developed disease risk assessment models for breast cancer, lung cancer, diabetes and other diseases, but these models are not fully suitable for Chinese population to carry out disease risk assessment and measurement, so it is necessary to build disease risk assessment models that are in line with the characteristics of Chinese population. How to go beyond the traditional chronic disease management system and construct the solution of precision medical decision has become a scientific problem concerned by the medical community. In the process of practicing of chronic disease management, the classification and stratification of multiple chronic disease risk factors are the core problems. Based on a large amount of collected medical data, using machine learning technology to build a prediction model for risk assessment of multiple chronic diseases in the elderly and conducts medical data mining, and to form an index evaluation system for intervention evaluation of chronic diseases in the elderly. This model will break through the difficulties and choke point of chronic disease management, and promote the prevention/intervention of chronic diseases to move forward, and achieve accurate management in the elderly.
- Chronic disease management,
- Big data,
- Machine learning,
- Elderly,
- Disease risk prediction

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References(48)

References

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Research on the establishment of a risk prediction model for multiple chronic diseases in the elderly based on big data

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