Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada.

Journal: American journal of clinical dermatology
PMID: 38498268

Abstract

BACKGROUND: Psoriasis is a major global health burden affecting ~ 60 million people worldwide. Existing studies on psoriasis focused on individual-level health behaviors (e.g. diet, alcohol consumption, smoking, exercise) and characteristics as drivers of psoriasis risk. However, it is increasingly recognized that health behavior arises in the context of larger social, cultural, economic and environmental determinants of health. We aimed to identify the top risk factors that significantly impact the incidence of psoriasis at the neighborhood level using populational data from the province of Quebec (Canada) and advanced tree-based machine learning (ML) techniques.

Authors

  • Anastasiya Muntyanu
    Department of Experimental Medicine, McGill University, Montreal, Canada.
  • Raymond Milan
    Department of Experimental Medicine, McGill University, Montreal, Canada.
  • Mohammed Kaouache
    Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
  • Julien Ringuet
    Centre de Recherche Dermatologique de Québec, Québec, Canada.
  • Wayne Gulliver
    Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
  • Irina Pivneva
    Analysis Group, Montreal, Canada.
  • Jimmy Royer
    Analysis Group Inc., United States of America.
  • Max Leroux
    Analysis Group, Montreal, Canada.
  • Kathleen Chen
    Analysis Group, Montreal, Canada.
  • Qiuyan Yu
    Plant and Environmental Sciences New Mexico State University Las Cruces New Mexico USA.
  • Ivan V Litvinov
    Division of Dermatology, Department of Medicine, McGill University Health Centre, Montreal General Hospital, Montreal, QC, Canada.
  • Christopher E M Griffiths
    Centre for Dermatology Research, Faculty of Biology, Medicine and Health, and Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9PT, UK.
  • Darren M Ashcroft
    Centre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • Elham Rahme
    Department of Medicine, Division of Clinical Epidemiology, McGill University, Montreal, QC, Canada.
  • Elena Netchiporouk
    Division of Dermatology, Department of Medicine, McGill University Health Centre, Montreal General Hospital, Montreal, QC, Canada. elena.netchiporouk@mcgill.ca.

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