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[Comparison of the Prediction Model of Adolescents' Suicide Attempt Using Logistic Regression and Decision Tree: Secondary Data Analysis of the 2019 Youth Health Risk Behavior Web-Based Survey].

Yoonju LeeHeejin KimYesul LeeHyesun Jeong
Published in: Journal of Korean Academy of Nursing (2021)
Experiences of sadness and hopelessness, experiences of substance abuse, and experiences of violent victimization are the common major predictors of suicide attempts in both logistic regression and decision tree models, and the predict rates of both models were similar. We suggest to provide programs considering combination of high-risk predictors for adolescents to prevent suicide attempt.
Keyphrases
  • health risk
  • mental health
  • young adults
  • physical activity
  • heavy metals
  • drinking water
  • public health
  • decision making
  • intimate partner violence
  • electronic health record
  • big data
  • machine learning
  • data analysis