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Data mining research on innate constitution of Wuyun Liuqi Theory based on birth time and hypertension
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DOI   10.11656/j.issn.1673-9043.2019.04.12
Key Words   Wuyun Liuqi Theory;data mining;birth time;Hypertension
Author NameAffiliationE-mail
WANG Li Shandong University of Traditional Chinese Medicine, Ji'nan 250014, China  
WU Bo Hospital of Traditional Chinese Medicine of Shandong Province, Ji'nan 250014, China wubojinan@163.com 
HAN Xiao-Chun Shandong University of Traditional Chinese Medicine, Ji'nan 250014, China  
GUO Liang-Qing Hospital of Traditional Chinese Medicine of Shandong Province, Ji'nan 250014, China  
Abstract
    [Objective] Study on relationship between innate constitution of Wuyun Liuqi Theory based on birth time and hypertension.[Methods] According to the electronic medical record of Hospital of Traditional Chinese Medicine of Shandong Province, 33 669 casee of hypertensive patients who were hospitalized from January 1, 2012 to December 30, 2017 were selected as case group. For the same period, 103 106 hospitalized patients who did not suffer from hypertension were used as controls. According to the innate constitution of Wuyun Liuqi Theory based on birth time they were divided into different groups. Separately count the number of case groups and control groups in different Suiyun and Sitian groups. Pearson chi-square test and logistic regression were used for statistical analysis.[Results] There were differences in the distribution of hypertension in Suiyun and Sitian (P<0.05). There is no correlation between the corresponding Suiyun at birth and whether or not there is hypertension. The Sitian that may cause a decrease in the prevalence of hypertension are Taiyin Shitu (P<0.05, OR=1.07).[Conclusion] People born in the Taiyin Shitu of Si-tian are more likely to suffer from hypertension, and the cause is closely related to the cold and wet. According to the understanding of the etiology and pathogenesis in the Wuyun Liuqi Theory, it is possible to obtain greater benefits for crowd warning and health care treatment.

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