Fernandez-Luque Luis, Karlsen Randi, Bonander Jason
Northern Research Institute, Tromsø, Norway.
J Med Internet Res. 2011 Jan 28;13(1):e15. doi: 10.2196/jmir.1432.
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.
近年来，网络已成为一个社交平台，健康消费者在上面积极创建和消费网络内容。此外，随着网络的成熟，消费者能够使用适应其健康需求和兴趣的个性化应用程序。个性化网络应用程序的创建依赖于提取有关用户和内容的信息以实现个性化。社交网络本身除了传统的网络表单和问卷之外，还提供了许多可用于提取个性化信息的信息源。本文综述了从社交网络中提取信息以实现健康个性化的不同方法。我们回顾了不同领域的研究文献，这些文献涉及社交网络中健康信息的披露、提取该信息的技术以及个性化健康应用的示例。此外，本文还讨论了与提取健康个性化信息相关的技术和社会伦理挑战。
