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Prediction models for high risk of suicide in Korean adolescents using machine learning techniques.

Jun Su JungSung Jin ParkEun Young KimKyoung-Sae NaYoung Jae KimKwang Gi Kim
Published in: PloS one (2019)
The machine leaning techniques showed comparable performance with LR to classify adolescents who have previous history of suicidal ideation/attempt. This model will hopefully serve as a foundation for decreasing future suicides as it enables early identification of adolescents at risk of suicide and modification of risk factors.
Keyphrases
  • young adults
  • physical activity
  • risk factors
  • machine learning
  • current status