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Review of Extracting Information From the Social Web for Health Personalization

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.

Fernandez-Luque L, Karlsen R, Bonander J. Review of Extracting Information From the Social Web for Health Personalization. J Med Internet Res. 2011 Jan 28;13(1):e15.

29 January 2011

Bibliographic Data

Title:

Review of Extracting Information From the Social Web for Health Personalization

Author(s):

Fernandez-Luque, Luis; Karlsen, Randi; Bonander, Jason

Journal

J Med Internet Res, 13(1), pp. e15
(2011-01-28)

URL:

Full article

DOI:

10.2196/jmir.1432

Keyword(s):

Communication, Data Mining, Information Storage and Retrieval, Internet, Medical Informatics, Natural Language Processing, Online Systems

Citation:
Fernandez-Luque L, Karlsen R, Bonander J. Review of Extracting Information From the Social Web for Health Personalization. J Med Internet Res. 2011 Jan 28;13(1):e15.

Other Publications

In ICMCC Database

All J Med Internet Res articles (141).

Other article(s) by

Luis Fernandez-Luque (2).

Jason Bonander (1).

Discussion




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Affiliated University Institutes

Northern Research Institute, Norway

University of Tromsø - Computer Science Department, Norway

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PubMed

Luis Fernandez-Luque
Randi Karlsen
Jason Bonander

Google Scholar

Luis Fernandez-Luque
Randi Karlsen
Jason Bonander

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