Review of extracting information from the Social Web for health personalization.

Review of extracting information from the Social Web for health personalization.
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DOI:
10.2196/jmir.1432
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发表时间:
2011-01-28
影响因子:
7.4
通讯作者:
Bonander J
Bonander J
中科院分区:
医学2区
文献类型:
--
作者:
Fernandez-Luque L;Karlsen R;Bonander J

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近年来,网络已经成为一个社交平台,健康消费者正在积极地创建和消费网络内容。此外,随着Web的成熟,消费者可以访问适合其健康需求和兴趣的个性化应用程序。个性化Web应用程序的创建依赖于提取的关于用户和要个性化的内容的信息。社交网络本身提供了许多信息源,除了传统的Web表单和问卷之外,这些信息源可用于提取用于个性化的信息。本文综述了从社交网络中提取健康个性化信息的不同方法。我们回顾了不同领域的研究文献,涉及社交网络中健康信息的披露、提取这些信息的技术以及个性化健康应用的示例。此外,本文还讨论了与健康个性化信息提取相关的技术和社会伦理挑战。
In recent years the Web has come into its own as a social platform where health consumers are actively creating and consuming Web content. Moreover, as the Web matures, consumers are gaining access to personalized applications adapted to their health needs and interests. The creation of personalized Web applications relies on extracted information about the users and the content to personalize. The Social Web itself provides many sources of information that can be used to extract information for personalization apart from traditional Web forms and questionnaires. This paper provides a review of different approaches for extracting information from the Social Web for health personalization. We reviewed research literature across different fields addressing the disclosure of health information in the Social Web, techniques to extract that information, and examples of personalized health applications. In addition, the paper includes a discussion of technical and socioethical challenges related to the extraction of information for health personalization.
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期刊: PloS one
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