TY -非盟的陈,安妮T盟——卡里埃雷切尔米非盟-卡普兰,萨曼莎Jan PY - 2017 DA - 2017/09/07 TI -用户知道如何称呼它:将病人的声音通过参与式平台上用户输入的标签对健康管理乔- J地中海互联网Res SP - e292六世- 19 - 9千瓦,协作标记KW -大众分类法KW -知识组织KW -自我管理KW -身体听KW -身体意识AB -背景:身体倾听，即关注身体信号和线索的行为，是长期健康管理的重要组成部分。目的:本研究的目的是介绍和评估身体倾听项目，这是一项创新的努力，旨在让公众参与公共资源的创建，以发挥健康领域的集体智慧。这个项目包括一个网站，人们可以在那里分享他们关于身体倾听和自我管理的经验，并与他人对话。本文对所贡献的标签进行了分析，重点是这些标签在知识组织和纳入对消费者友好的健康信息检索系统方面的价值。方法:首先，我们对所贡献的标签进行内容分析，确定了一组类别，并细化了类别的关系结构，形成了初步的分类方案——身体倾听和自我管理分类法。其次，我们将“身体倾听和自我管理分类法”中的概念与从现有健康知识资源“统一医学语言系统”(UMLS)中自动识别的概念进行了比较，以更好地表征参与者贡献的信息。第三，运用可视化技术探索标签的概念空间。基于分类倾向于分配到相同标签的程度的相关矩阵被用于研究分类学类别的相互相关性。然后使用网络可视化来研究分类法中类别之间的结构关系。 Results: First, we proposed a taxonomy called the Body Listening and Self-Management Taxonomy, with four meta-level categories: (1) health management strategies, (2) concepts and states, (3) influencers, and (4) health-related information behavior. This taxonomy could inform future efforts to organize knowledge and content of this subject matter. Second, we compared the categories from this taxonomy with the UMLS concepts that were identified. Though the UMLS offers benefits such as speed and breadth of coverage, the Body Listening and Self-Management Taxonomy is more consumer-centric. Third, the correlation matrix and network visualization demonstrated that there are natural areas of ambiguity and semantic relatedness in the meanings of the concepts in the Body Listening and Self-Management Taxonomy. Use of these visualizations can be helpful in practice settings, to help library and information science practitioners understand and resolve potential challenges in classification; in research, to characterize the structure of the conceptual space of health management; and in the development of consumer-centric health information retrieval systems. Conclusions: A participatory platform can be employed to collect data concerning patient experiences of health management, which can in turn be used to develop new health knowledge resources or augment existing ones, as well as be incorporated into consumer-centric health information systems. SN - 1438-8871 UR - //www.mybigtv.com/2017/9/e292/ UR - https://doi.org/10.2196/jmir.7673 UR - http://www.ncbi.nlm.nih.gov/pubmed/28882809 DO - 10.2196/jmir.7673 ID - info:doi/10.2196/jmir.7673 ER -