Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency.

Journal: Artificial intelligence in medicine
PMID: 39383706

Abstract

BACKGROUND & OBJECTIVES: Mental health disorders pose an increasing public health challenge worsened by the COVID-19 pandemic. The pandemic highlighted gaps in preparedness, emphasizing the need for early identification of at-risk groups and targeted interventions. This study aims to develop a risk assessment tool for anxiety, depression, and self-perceived stress using machine learning (ML) and explainable AI to identify key risk factors and stratify the population into meaningful risk profiles.

Authors

  • Guillermo Villanueva Benito
    Barcelona Institute for Global Health (ISGlobal), C/ del Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Spain.
  • Ximena Goldberg
    Barcelona Institute for Global Health (ISGlobal), C/ del Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain.
  • Nicolai Brachowicz
    ISGlobal, Barcelona, Spain.
  • Gemma Castaño-Vinyals
    Barcelona Institute for Global Health (ISGlobal), C/ del Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain.
  • Natalia Blay
    Genomes for Life-GCAT lab. CORE program. Germans Trias I Pujol Research Institute (IGTP), Camí de les Escoles, s/n, Badalona 08916, Catalonia, Spain.
  • Ana Espinosa
    Barcelona Institute for Global Health (ISGlobal), C/ del Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain.
  • Flavia Davidhi
    Barcelona Institute for Global Health (ISGlobal), C/ del Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain.
  • Diego Torres
    Barcelona Institute for Global Health (ISGlobal), C/ del Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain.
  • Manolis Kogevinas
    Barcelona Institute for Global Health (ISGlobal), C/ del Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain.
  • Rafael de Cid
    Genomes for Life-GCAT lab. CORE program. Germans Trias I Pujol Research Institute (IGTP), Camí de les Escoles, s/n, Badalona 08916, Catalonia, Spain.
  • Paula Petrone
    Barcelona Institute for Global Health (ISGlobal), C/ del Dr. Aiguader, 88, Barcelona 08003, Catalonia, Spain. Electronic address: paula.petrone@isglobal.org.

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