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Aiding in the Treatment of Low Back Pain by a Fuzzy Linguistic Web System

  • Bernabé Esteban
  • Álvaro Tejeda-Lorente
  • Carlos Porcel
  • José Antonio Moral-Muñoz
  • Enrique Herrera-Viedma
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8536)

Abstract

Low back pain affects a large proportion of the adult population at some point in their lives and has a major economic and social impact. To soften this impact, one possible solution is to make use of recommender systems, which have already been introduced in several health fields. In this paper, we present TPLUFIB-WEB, a novel fuzzy linguistic Web system that uses a recommender system to provide personalized exercises to patients with low back pain problems and to offer recommendations for their prevention. This system may be useful to reduce the economic impact of low back pain, help professionals to assist patients, and inform users on low back pain prevention measures. A strong part of TPLUFIB-WEB is that it satisfies the Web quality standards proposed by the Health On the Net Foundation (HON), Official College of Physicians of Barcelona, and Health Quality Agency of the Andalusian Regional Government, endorsing the health information provided and warranting the trust of users.

Keywords

Low back pain health care recommender systems fuzzy linguistic modeling quality evaluation 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Bernabé Esteban
    • 1
  • Álvaro Tejeda-Lorente
    • 2
  • Carlos Porcel
    • 3
  • José Antonio Moral-Muñoz
    • 4
  • Enrique Herrera-Viedma
    • 2
  1. 1.Dept. of Physical TherapyUniversity of GranadaGranadaSpain
  2. 2.Dept. of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain
  3. 3.Dept. of Computer ScienceUniversity of JaenJaenSpain
  4. 4.Dept. of Librarianship and Information ScienceUniversity of GranadaGranadaSpain

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