PARS, a system combining semantic technologies with multiple criteria decision aiding for supporting antibiotic prescriptions.

Journal: Journal of biomedical informatics
Published Date: Oct 14, 2019

Abstract

OBJECTIVE: Motivated by the well documented worldwide spread of adverse drug events, as well as the increased danger of antibiotic resistance (caused mainly by inappropriate prescribing and overuse), we propose a novel recommendation system for antibiotic prescription (PARS).

Authors

  • Souhir Ben Souissi
    University of Haute-Alsace, ENSISA, 12 Rue des Frères Lumière, 68093 Mulhouse, France. Electronic address: Souhir.Ben-souissi@uha.fr.
  • Mourad Abed
    University Polytechnic of Hauts de France, LAMIH, Aulnoy lez Valenciennes, 59313 Valenciennes Cedex 9, France. Electronic address: mourad.abed@univ-valenciennes.fr.
  • Lahcen El Hiki
    University of Mons, Research Institute for the Science and Management of Risks, 20, place du Parc, B7000 Mons, Belgium. Electronic address: Lahcen.Elhiki@umons.ac.be.
  • Philippe Fortemps
    Department of Engineering Innovation Management, Faculty of Engineering, University of Mons, Mons, Belgium.
  • Marc Pirlot
    University of Mons, Faculty of Engineering, 9, rue de Houdain, B7000 Mons, Belgium. Electronic address: Marc.Pirlot@umons.ac.be.

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