| 疾病谱数据挖掘与可视化展示系统的设计与实现 |
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| 引用本文： | 李金斌,郝,然,付,磊,王,戎,赵笑颜,尹,岭.疾病谱数据挖掘与可视化展示系统的设计与实现[J].中国信息导报,2018(1):97-102. |
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| 作者姓名： | 李金斌 郝 然 付 磊 王 戎 赵笑颜 尹 岭 |
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| 作者单位： | 1．中国人民解放军总医院，北京 100853；2. 国家卫计委科学技术研究所，北京 100081；
3. 兰州大学，甘肃兰州 730000 |
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| 基金项目： | 科技基础性工作专项重点项目“科技基础性工作数据资料集成与规范化整编”（2013FY110900）；国家人口健康科学数
据共享平台专项课题“人口健康平台临床数据资源建设发展策略研究”（2016NCMIZX07）。 |
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| 摘 要： | 本文首先对现有人口健康领域科技基础性工作疾病谱相关项目数据资料进行全面梳理、整编，设计构建了
疾病谱数据挖掘与可视化展示系统。然后利用该系统对安徽省阜南县疾病谱数据进行实例分析，发现县内就诊率不足
等问题，并针对这些问题提出了相关的建议，经采取相应的措施取得了一定的成效。最后对该系统的建设提出了进一
步的改进意见。
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| 关 键 词： | 疾病谱 数据库 可视化 数据挖掘 数据库建设 |
| 收稿时间： | 2017/7/14 0:00:00 |
Design and Implementation of Data Mining and Visualization System for Disease Spectrum |
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| LI Jinbin,HAO Ran,FU Lei,WANG Rong,ZHAO Xiaoyan,YIN Ling.Design and Implementation of Data Mining and Visualization System for Disease Spectrum[J].China Information Review,2018(1):97-102. |
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| Authors: | LI Jinbin HAO Ran FU Lei WANG Rong ZHAO Xiaoyan YIN Ling |
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| Institution: | 1.Chinese PLA General Hospital,Beijing,100853, 2.National Institute of Health Science and technology,
Beijing, 100081; 3.Lanzhou University, Lanzhou 730000 |
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| Abstract: | Through overall combing and integration of data materials about the fundamentality projects of
work disease spectrum in people healthy field, so building special data base being Chinese disease spectrum,
and simultaneously reusing data mining and visualization showing, to obtain disease occur law and health
care service ability in the region, thus grasping feature of crowd disease spectrum and requirement of medical
service in all parts of region, further to promote ability of medical service. This paper researches and designs
data mining and visualization system to existing correlation projects of disease spectrum to science and
technology fundamentality works. Using the system, it analyzes in application to disease spectrum data in
Funan county, Anhui province, so finds the deficiency of visit rate in county, proposes relevant proposal, and
adopted relevant measure acquired certain effect. At length, proposes further improved opinions to the system. |
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| Keywords: | disease spectrum database visualization data mining database construction |
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