Integration and Evolution of Data Mining Models in Ubiquitous Health Telemonitoring Systems View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2014

AUTHORS

Vladimer Kobayashi , Pierre Maret , Fabrice Muhlenbach , Pierre-René Lhérisson

ABSTRACT

Ubiquitous Health Telemonitoring Systems collect low level data with the aim to ameliorate the health condition of patients. Models from data mining are created to compute indicators regarding their status and activity (habits, abnormalities). Models can also help generate feedbacks and recommendations for patients as well as for remote formal and informal care givers. Essential features are that the models can be easily updated whenever new information is available and that data generated from the models can be readily accessible as well as sensed data. This paper addresses the challenge of conveniently incorporating in a Ubiquitous Health Telemonitoring System the creation, the use, and the updating of data mining models. We conducted first runs and generated results showing the feasibility as well as the effectiveness of the system. More... »

PAGES

705-709

References to SciGraph publications

  • 2010-10-05. Data Mining Methods for Recommender Systems in RECOMMENDER SYSTEMS HANDBOOK
  • Book

    TITLE

    Mobile and Ubiquitous Systems: Computing, Networking, and Services

    ISBN

    978-3-319-11568-9
    978-3-319-11569-6

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-11569-6_57

    DOI

    http://dx.doi.org/10.1007/978-3-319-11569-6_57

    DIMENSIONS

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