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基于因子分析的全国各省市卫生医疗综合实力特征评价
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Abstract:
全国各省市的医疗卫生发展情况不尽相同,为了评价各省市的卫生医疗综合实力特征,本文采用因子分析的方法综合选取了17个指标对全国31个省市(区)的医疗实力进行分析,数据来源于《中国统计年鉴2020》,并通过K-均值聚类的方法将因子得分进行聚类分析,发现各省市医疗发展水平不均衡,存在很大的地理差异,并将各省市划分成了4类,并根据研究结果和发展情况给出合理的建议。
The medical and health development of different provinces and cities in the country is different. In order to evaluate the characteristics of the comprehensive health and medical strength of each province and city, this paper uses the factor analysis method to comprehensively select 17 indicators to analyze the medical strength of 31 provinces, cities (regions) in China, the data comes from the “China Statistical Yearbook 2020”, and the factor score is clustered and analyzed by the K-mean clustering method, and it is found that the medical development level of each province and city is unbalanced, there are great geographical differences, and the provinces and cities are divided into 4 categories. And give reasonable suggestions based on the research results and developments.
[1] | 秦志勇. 安徽省医疗卫生机构服务水平综合评价——基于因子分析和聚类分析方法[J]. 合肥学院学报(综合版), 2020(2): 63-68. |
[2] | 杜宇昂, 朱家明. 基于因子分析的广东省卫生服务与医疗保障发展水平综合评价[J]. 哈尔滨师范大学自然科学学报, 2021(1): 47-55. |
[3] | 白雨玲. 基于因子分析的全国医疗卫生资源配置差异性研究[J]. 赣南医学院学报, 2022(10): 1080-1084. |
[4] | 刘平清, 朱桂玲, 张慧愿. 基于因子分析与TOPSIS模型的医疗水平综合评价[J]. 电脑知识与技术, 2020(29): 10-12. |
[5] | 薛薇. 统计分析和SPSS的应用[M]. 第3版. 北京: 中国人民大学出版社, 2021. |