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Frequency and machine learning predictors of severe depressive symptoms and suicidal ideation among university students.

Nicola MedaSusanna PardiniPaolo RigobelloFrancesco VisioliCaterina Novara
Published in: Epidemiology and psychiatric sciences (2023)
Students' severe mental health problems reached worrying levels, and demographic factors were poor predictors of mental health outcomes. Further research including people with lived experience will be crucial to better assess students' mental health needs and improve the predictive outcome for those most at risk of worsening symptoms.
Keyphrases
  • mental health
  • depressive symptoms
  • machine learning
  • mental illness
  • high school
  • early onset
  • sleep quality
  • artificial intelligence
  • social support