Exploring polypharmacy with artificial intelligence: data analysis protocol.

Journal: BMC medical informatics and decision making
PMID: 34284765

Abstract

BACKGROUND: Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of medication combinations and sequences of use makes it complicated for traditional statistical methods to predict which therapy is genuinely associated with health outcomes. The project aims to use artificial intelligence (AI) to determine the quality of polypharmacy among older adults with chronic diseases in the province of Québec, Canada.

Authors

  • Caroline Sirois
    Faculty of Pharmacy, Université Laval, Quebec, QC, Canada. caroline.sirois@pha.ulaval.ca.
  • Richard Khoury
    Faculty of Science and Engineering, Department of Computer Science and Software Engineering, Université Laval, Quebec, QC, Canada.
  • Audrey Durand
    Department of Computer Science and Software Engineering and Department of Electrical and Computer Engineering, Université Laval, Québec City, Québec, Canada.
  • Pierre-Luc Deziel
    Faculty of Law, Université Laval, Quebec, QC, Canada.
  • Olga Bukhtiyarova
    Department of Psychiatry and Neuroscience, School of Medicine Université Laval, Québec, G1V 0A6, Canada; CERVO Brain Research Center, Local F-6500, 2601 de la Canardière, Québec, G1J 2G3, Canada.
  • Yohann Chiu
    Faculty of Pharmacy, Université Laval, Quebec, QC, Canada.
  • Denis Talbot
    Faculty of Medicine, Department of Social and Preventive Medicine, Université Laval, Quebec, QC, Canada.
  • Alexandre Bureau
    Faculty of Medicine, Department of Social and Preventive Medicine, Université Laval, Quebec, QC, Canada.
  • Philippe Després
    Faculty of Science and Engineering, Department of Physics, Physical Engineering and Optics, Université Laval, Quebec, QC, Canada.
  • Christian Gagne
  • François Laviolette
    Department of Computer Science and Software Engineering, Université Laval, Québec, Canada.
  • Anne-Marie Savard
    Faculty of Law, Université Laval, Quebec, QC, Canada.
  • Jacques Corbeil
    Department of Molecular Medicine, Université Laval, Québec, Canada.
  • Thierry Badard
    Faculty of Forestry, Geography and Geomatics, Department of Geomatic Science, Université Laval, Quebec, QC, Canada.
  • Sonia Jean
    Quebec National Institute of Public Health, Quebec, QC, Canada.
  • Marc Simard
    Quebec National Institute of Public Health, Quebec, QC, Canada.

Keywords

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