Review of extracting information from the social web for health personalization

Luis Fernandez, Randi Karlsen, Jason Bonander

Research output: Contribution to journalReview article

43 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article numbere15
JournalJournal of Medical Internet Research
Volume13
Issue number1
DOIs
Publication statusPublished - Jan 2011
Externally publishedYes

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Keywords

  • Data mining
  • Health communication
  • Information storage and retrieval
  • Internet
  • Medical informatics
  • Natural language processing
  • Online systems

ASJC Scopus subject areas

  • Health Informatics

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