Occupational mental health: an investigation of risk indicators using interpretable machine learning techniques.

Journal: Journal of occupational and environmental medicine
Published Date: May 28, 2025

Abstract

OBJECTIVE: To apply interpretable machine learning to identify key factors influencing work-related mental health cases to support early intervention.

Authors

  • André Luis Schneider
    Graduate Program in Production & Systems Engineering (PPGEPS), Federal University of Technology - Paraná (UTFPR), Pato Branco, PR, Brazil.
  • Juliana Sampaio Do Carmo
    Graduate Program in Production & Systems Engineering (PPGEPS), Federal University of Technology - Paraná (UTFPR), Pato Branco, PR, Brazil.
  • Érick Oliveira Rodrigues
    Institute of Computing, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.
  • Sergio Luiz Ribas Pessa
    Graduate Program in Production & Systems Engineering (PPGEPS), Federal University of Technology - Paraná (UTFPR), Pato Branco, PR, Brazil.

Keywords

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