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Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study.

Alexandra J MayhewDavid HoganParminder RainaChristina WolfsonAndrew P CostaAaron JonesSusan KirklandMegan E O'connellVanessa TalerEric Edward SmithTeresa Liu-AmbroseJinhui MaMary ThompsonChangbao WuHoward ChertkowLauren E Griffithnull null
Published in: BMJ open (2023)
Ethics approval has been received from the institutional research ethics boards for each CLSA Data Collection Site (Université de Sherbrooke, Hamilton Integrated Research Ethics Board, Dalhousie University, Nova Scotia Health Research Ethics Board, University of Manitoba, McGill University, McGill University Health Centre Research Institute, Memorial University of Newfoundland, University of Victoria, Élisabeth Bruyère Research Institute of Ottawa, University of British Columbia, Island Health (Formerly the Vancouver Island Health Authority, Simon Fraser University, Calgary Conjoint Health Research Ethics Board).The results of this work will be disseminated to public health professionals, researchers, health professionals, administrators and policy-makers through journal publications, conference presentations, publicly available reports and presentations to stakeholder groups.
Keyphrases
  • public health
  • healthcare
  • big data
  • mental health
  • randomized controlled trial
  • machine learning
  • health information
  • global health
  • emergency department
  • health promotion
  • adverse drug
  • drug administration