Machine Learning Assessment of Early Life Factors Predicting Suicide Attempt in Adolescence or Young Adulthood.

Journal: JAMA network open
PMID: 33710292

Abstract

IMPORTANCE: Although longitudinal studies have reported associations between early life factors (ie, in-utero/perinatal/infancy) and long-term suicidal behavior, they have concentrated on 1 or few selected factors, and established associations, but did not investigate if early-life factors predict suicidal behavior.

Authors

  • Marie C Navarro
    Bordeaux Population Health Research Center, Institut national de la santé et de la recherche médicale U1219, University of Bordeaux, Bordeaux, France.
  • Isabelle Ouellet-Morin
    School of Criminology, Research Center of the Montreal Mental Health University Institute, University of Montreal, Montreal, Canada.
  • Marie-Claude Geoffroy
    McGill Group for Suicide Studies, Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada.
  • Michel Boivin
    School of Psychology, University of Laval, Quebec City, Canada.
  • Richard E Tremblay
    School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
  • Sylvana M Côté
    Bordeaux Population Health Research Center, Institut national de la santé et de la recherche médicale U1219, University of Bordeaux, Bordeaux, France.
  • Massimiliano Orri
    Bordeaux Population Health Research Center, Institut national de la santé et de la recherche médicale U1219, University of Bordeaux, Bordeaux, France.

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