首页|Optimization Model Research on Major Underlying Factors in the Subhealth Condition Evaluation in 1 City and 7 Provinces in China

Optimization Model Research on Major Underlying Factors in the Subhealth Condition Evaluation in 1 City and 7 Provinces in China

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  • 国家科技期刊平台
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  • NSTL
  • 万方数据
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Background: The study aimed to analyze major underlying factors of the subhealth condition evaluation and find the optimization model. Methods: Selected 524 cases of health state and 453 cases of subhealth state from the research objects. A genetic algorithm was applied to discover the optimization model. The decision tree algorithm was used to find the main performance in the areas of physical, psychological, and social adaptation in the two populations which were the health state and the subhealth state. Conclusions: To establish the optimization model, the author would set up a curve?fitting equation between reduction of health self?assessment score (S?G1) and white blood cell (WBC) value in routine blood, so as to establish the relationship between S?G1 and WBC and found the approximate minimum solution of each equation. Besides, the author would analyze the differences between two populations in WBC examination to seize the difference. Revealed the differences of two populations in the areas of physical, psychological, and social adaptation by data mining and got the result that WBC of "the health state population" was higher than that of "the sub?health state population" in the index changes of WBC. The problem in social adaptation area of the subhealth state population was more serious in degree than the health state population; the reason was complex. If WBC of the health state population was near or below 5.5079, the object may be in the state of subhealth. However, if WBC was near or below 4.35, it is possible to enter the "morbid state."

Curve fittingdecision treegenetic algorithmhealth statesubhealth statewhite cell count value

Hong-Mei Ni、Yu-Min He、Xu-Ming Yang

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Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China

College of Acupuncture and Massage, Shanghai University of Traditional Chinese Medicine, Shanghai, China

This work was supported by Chinese "Disease" Sub?health Medicine Research and Intervention of the Eleventh Five?Year Science andFinancial Support Case Studies of Traditional Chinese MedicineTreatment of Disease and Health Management Ideas of Shanghai HealtScientific Innovation Research Funds of Shanghai Municipal Education CommissionTeacher Academic Community Fund of Shanghai University of Traditional Chinese MedicineChinese Culture and Its Core Value System Modernization Transformation of the National Social Science FundsShanghai Traditional Chinese Medicine Science and Technology Innovation ProjectScience and Technology Tackling Project of Health Qigong Management Center of State GeneralAdministration of Sports

2006BAI13B01201022714YZ0612013JXG03No.12AZD094ZYKC201601002No.G2018010

2019

世界中医药杂志(英文版)
世界中医药学会联合会

世界中医药杂志(英文版)

CSTPCD
ISSN：2311-8571
年,卷(期)：2019.5(2)
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