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Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning.

Colin G WalshJessica D RibeiroJoseph C Franklin
Published in: Journal of child psychology and psychiatry, and allied disciplines (2018)
Machine learning on longitudinal clinical data may provide a scalable approach to broaden screening for risk of nonfatal suicide attempts in adolescents.
Keyphrases
  • machine learning
  • big data
  • young adults
  • physical activity
  • artificial intelligence
  • cross sectional
  • data analysis