Zhu Yanxin1, Liu Qinghua2, Zhu Ning 2,3*
1. Changsha Maternal and Child Health Hospital, Changsha, Hunan, 410007, China
2. School of Mathematics and Computational Science, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China
3. Institute of Information Technology of Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China
The paper uses statistical analysis methods to investigate the prevalence of 10 seeds of uterine fibroids from 21 to 75 years old in hospital A. The principal component analysis method is used to divide the 10 seeds of uterine fibroids disease into three types of comprehensive indicators. The corresponding analysis method is used to obtain the correspondence information between different age groups and the three types of comprehensive uterine fibroids diseases. The prevention and treatment should be targeted according to different uterine fibroids diseases at different ages. From the corresponding analysis chart and the difference results, it can be intuitively obtained that the high incidence of uterine fibroids disease is in the middle age (41-50 years old). The statistical analysis method in this paper provides theoretical support and relevant reference for related research in the medical field.
Uterine fibroids, Age distribution, Principal component analysis, Correspondce analysis, Difference test
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