Volume 19 Issue 11
Nov.  2021
Turn off MathJax
Article Contents
LI Qian, WANG Yi-fei, SHI Jian-wei, YU Wen-ya, ZHOU Liang, GAO Xiang, WANG Zhao-xin, LYU Yi-peng. The theory and practice of community health portraits from the perspective of general practitioners[J]. Chinese Journal of General Practice, 2021, 19(11): 1797-1801. doi: 10.16766/j.cnki.issn.1674-4152.002170
Citation: LI Qian, WANG Yi-fei, SHI Jian-wei, YU Wen-ya, ZHOU Liang, GAO Xiang, WANG Zhao-xin, LYU Yi-peng. The theory and practice of community health portraits from the perspective of general practitioners[J]. Chinese Journal of General Practice, 2021, 19(11): 1797-1801. doi: 10.16766/j.cnki.issn.1674-4152.002170

The theory and practice of community health portraits from the perspective of general practitioners

doi: 10.16766/j.cnki.issn.1674-4152.002170
Funds:

 GWV-10.2-XD07

 2020PJC081

 21X010501094

  • Received Date: 2021-07-08
  • As a tool to achieve accurate personalized information service, user portrait has been widely concerned in recent years. User portrait is a "virtual representation based on the real data of users". The most important characteristics are authenticity, dynamics and uniqueness. Based on different portrait building point of view, the user portrait main methods can be divided into four kind of genre: portrait based on ontology, portrait based on user behavior painting, portrait based on themes, and portrait based on user interests. The build process is a user characteristic data acquisition, data mining and filtering, labels, extraction and the process of restructuring, rich user portrait description, because of its precision, the characteristics of personalized service, user portrait can be used for personalized recommendation, precision marketing, behavior prediction, anomaly detection and other directions. Community portrait is based on the user portrait of the specific group to carry out the front range and boundary confirmation, emphasizing the common characteristics of the given group, so there are corresponding differences in research content and methods. Community health portrait is the extension of community portrait in the field of health care, the essence is a certain area of community subject in the field of health care information collection, according to the different purposes of portrait based on user similarity portrait or based on the difference of the community portrait. In the future, it can be applied to regional medical resource allocation, precision and personalized medical service, medical and health service level evaluation, and community residents' health monitoring. However, with the continuous advancement of graded diagnosis and treatment system and the continuous updating of data support technology, the allocation of medical resources in grassroots communities will become a hot research topic in the field of public health in the future, and the application of community health portrait will also be more and more. This paper introduces the current research progress and key technologies of user portrait and community portrait, and puts forward the concept, construction process and method of community health portrait and its application prospect, which provides reference for further research on community health portrait. Keywords: Portrait; User data; Community health.

     

  • loading
  • [1]
    程雅娟, 王尚才. 高龄老人居家养老健康管理需求及制约因素研究[J]. 中国医药, 2021, 16(3): 448-451. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGYG202103031.htm
    [2]
    国家统计局, 国务院第七次全国人口普查领导小组办公室. 第七次全国人口普查公报[N]. 中国信息报(2021-05-12).http://www.stats.gov.cn/ztjc/zdtjgz/zgrkpc/dqcrkpc/ggl/202105/t20210519_1817696.html.
    [3]
    邓晓, 邱莎莎. "互联网+"环境下分级诊疗制度的模式及运行机制探讨[J]. 现代商贸工业, 2021, 42(8): 69-70. https://www.cnki.com.cn/Article/CJFDTOTAL-XDSM202108030.htm
    [4]
    赵茜, 陈华东, 伍佳, 等. 我国基层医疗体系的发展与展望[J]. 中华全科医学, 2020, 18(3): 341-346. https://www.cnki.com.cn/Article/CJFDTOTAL-SYQY202003001.htm
    [5]
    郭燕红. 推进分级诊疗, 构建连续健康服务[J]. 中国全科医学, 2017, 20(1): 1-5. doi: 10.3969/j.issn.1007-9572.2017.01.001
    [6]
    江凌凌, 聂政, 孟玲. 分级诊疗模式下成都市社区基层医疗卫生服务中心慢性病管理现状及对策研究[J]. 成都医学院学报, 2020, 15(6): 793-795. doi: 10.3969/j.issn.1674-2257.2020.06.028
    [7]
    徐芳, 应洁茹. 国内外用户画像研究综述[J]. 图书馆学研究, 2020(12): 7-16. https://www.cnki.com.cn/Article/CJFDTOTAL-TSSS202012002.htm
    [8]
    QUINTANA R M, HALEY S R. The persona party: Using personas to design for learning at scale[J]. Chi Conference Extended, 2017: 933-941. http://dl.acm.org/ft_gateway.cfm?id=3053355&type=pdf
    [9]
    梁荣贤. 基于用户画像的图书馆精准信息服务研究[J]. 图书馆工作与研究, 2019(4): 65-69. https://www.cnki.com.cn/Article/CJFDTOTAL-TSGG201904012.htm
    [10]
    许鹏程, 毕强, 张晗, 等. 数据驱动下数字图书馆用户画像模型构建[J]. 图书情报工作, 2019, 63(3): 30-37. https://www.cnki.com.cn/Article/CJFDTOTAL-TSQB201903009.htm
    [11]
    宋美琦, 陈烨, 张瑞. 用户画像研究述评[J]. 情报科学, 2019, 37(4): 171-177. https://www.cnki.com.cn/Article/CJFDTOTAL-QBKX201904027.htm
    [12]
    刘海鸥, 孙晶晶, 苏妍嫄, 等. 基于用户画像的旅游情境化推荐服务研究[J]. 情报理论与实践, 2018, 41(10): 87-92. https://www.cnki.com.cn/Article/CJFDTOTAL-QBLL201810014.htm
    [13]
    陈晶. 移动数字图书馆用户画像模型及其情境化推荐方法研究[J]. 图书馆学研究, 2018(4): 19-23.
    [14]
    高广尚. 用户画像构建方法研究综述[J]. 数据分析与知识发现, 2019, 3(3): 25-35. https://www.cnki.com.cn/Article/CJFDTOTAL-XDTQ201903003.htm
    [15]
    费鹏, 林鸿飞, 杨亮, 等. 一种用于构建用户画像的多视角融合框架[J]. 计算机科学, 2018, 45(1): 179-182, 204. https://www.cnki.com.cn/Article/CJFDTOTAL-JSJA201801034.htm
    [16]
    林燕霞, 谢湘生. 基于社会认同理论的微博群体用户画像[J]. 情报理论与实践, 2018, 41(3): 142-148. https://www.cnki.com.cn/Article/CJFDTOTAL-QBLL201803027.htm
    [17]
    王顺箐. 以用户画像构建智慧阅读推荐系统[J]. 图书馆学研究, 2018(4): 92-96. https://www.cnki.com.cn/Article/CJFDTOTAL-TSSS201804013.htm
    [18]
    赵雅慧, 刘芳霖, 罗琳. 大数据背景下的用户画像研究综述: 知识体系与研究展望[J]. 图书馆学研究, 2019(24): 13-24. https://www.cnki.com.cn/Article/CJFDTOTAL-TSSS201924002.htm
    [19]
    杜娜娜. 基于社交媒体的短文本数据挖掘研究[D]. 天津: 天津理工大学, 2018.
    [20]
    汪倩, 徐勇, 张心蕊, 等. 用户画像研究进展综述[J]. 现代计算机, 2020(24): 60-63. doi: 10.3969/j.issn.1007-1423.2020.24.011
    [21]
    刘蕾蕾, 王胜涛, 胡正银. 社区画像研究综述[J]. 图书情报工作, 2019, 63(23): 122-130. https://www.cnki.com.cn/Article/CJFDTOTAL-TSQB201923021.htm
    [22]
    AKBARI M, CHUA T S. Leveraging behavioral factorization and prior knowledge for community discovery and profiling[C]//Proceedings of the tenth ACM international conference on web search and data mining. New York: ACM, 2017: 71-79.
    [23]
    CAI H Y, ZHENG V W, ZHU F W, et al. From community detection to community profiling[J]. Proc VLDB Endow, 2017, 10(7): 817-828. doi: 10.14778/3067421.3067430
    [24]
    姚龙飞, 何利力. 基于云模型理论的群体用户画像模型[J]. 计算机系统应用, 2018, 27(6): 53-59. https://www.cnki.com.cn/Article/CJFDTOTAL-XTYY201806008.htm
    [25]
    张海涛, 崔阳, 王丹, 等. 基于概念格的在线健康社区用户画像研究[J]. 情报学报, 2018, 37(9): 912-922. doi: 10.3772/j.issn.1000-0135.2018.09.006
    [26]
    CAI H Y. Making sense of social events by event monitoring, visualization and underlying community profiling[D]. Queensland: The University of Queensland, 2016.
    [27]
    陈鼎. 用大数据为健康城市"画像"[N]. 中国青年报, 2020-09-08(10).
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(4)

    Article Metrics

    Article views (325) PDF downloads(35) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return