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- W3154459462 abstract "Objective: clinical practice shows that the control and treatment of chronic diseases, in addition to drugs, exercise health management is more significant, but also the cheapest, no side effects, thorough intervention. It has been proved many times that exercise can control and prevent chronic diseases. Through the related research of sports intervention, because the researcher selects the experimental object and the movement type difference, thus obtains the different research conclusion. Different types of people use different types of exercise, to achieve different exercise results, especially in the group of chronic patients. Therefore, to discuss the establishment of evaluation and selection system of exercise mode in chronic disease exercise management is the time requirement of health promotion for the aged patients. Methods 1242 patients with different degrees of diabetes in Henan Province were selected and their informed consent was obtained. Using the physical activity scale (IPAQ) and the long form questionnaire, the questionnaire was issued and collected from July 1,2020 to December 31,2020 by the uniformly trained physical examination physician, the data were analyzed by artificial neural network. Results: this study has found a certain correlation between diabetes and physical activity level whose data is incomplete, but has showed an overall positive correlation." @default.
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- W3154459462 date "2021-04-01" @default.
- W3154459462 modified "2023-09-23" @default.
- W3154459462 title "Prediction model of physical activity level and diabetes mellitus based on artificial neural network" @default.
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- W3154459462 doi "https://doi.org/10.1088/1742-6596/1848/1/012104" @default.
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