Journal of Korea Artificial Intelligence Association

Korea Distribution Science Association (한국유통과학회)
권호 표지
DOI QR코드

DOI QR Code

Machine learning-based Predictive Model of Suicidal Thoughts among Korean Adolescents.

머신러닝 기반 한국 청소년의 자살 생각 예측 모델

  • YeaJu JIN (Big Data Medical Convergence, Eulji University) ;
  • HyunKi KIM
  • Received : 2023.04.18
  • Accepted : 2023.06.30
  • Published : 2023.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

This study developed models using decision forest, support vector machine, and logistic regression methods to predict and prevent suicidal ideation among Korean adolescents. The study sample consisted of 51,407 individuals after removing missing data from the raw data of the 18th (2022) Youth Health Behavior Survey conducted by the Korea Centers for Disease Control and Prevention. Analysis was performed using the MS Azure program with Two-Class Decision Forest, Two-Class Support Vector Machine, and Two-Class Logistic Regression. The results of the study showed that the decision forest model achieved an accuracy of 84.8% and an F1-score of 36.7%. The support vector machine model achieved an accuracy of 86.3% and an F1-score of 24.5%. The logistic regression model achieved an accuracy of 87.2% and an F1-score of 40.1%. Applying the logistic regression model with SMOTE to address data imbalance resulted in an accuracy of 81.7% and an F1-score of 57.7%. Although the accuracy slightly decreased, the recall, precision, and F1-score improved, demonstrating excellent performance. These findings have significant implications for the development of prediction models for suicidal ideation among Korean adolescents and can contribute to the prevention and improvement of youth suicide.

Keywords

References

  1. Han, M. H., (2022), Analysis of Factors Predicting Adolescent Suicidal Ideation Using Decision Tree Analysis: Focused on the 2019 Survey on the Status of Children and Adolescents' Rights. Korean Journal of Community Health Nursing, 36(2), 157-169.
  2. Hong, K. H., (2020), Predicting and Analyzing Suicidal Ideation among Male and Female Adolescents Based on the Random Forest Machine Learning Algorithm. Korean Journal of Social Welfare, 72(3), 157-180. https://doi.org/10.20970/kasw.2020.72.3.007
  3. Hong, N. M., & Jung, Y. S., (1999), Analysis of Factors Influencing Adolescent Suicidal Ideation. Korean Journal of Social Welfare, 37, 449-473.
  4. Jeong, M. S., & Seo, S. K., (2014), Predictive Variables of Adolescent Suicide Attempts. Korean Journal of Youth Studies, 25(2), 145-171.
  5. Jeong, Y. M., Park, H. S., & Kim, S. M., (2021). Influencing Factors of Adolescent Suicidal Ideation: 2020 Youth Health Behavior Survey. Journal of Healthcare Management Research, 15(3), 31-40.
  6. Kim, M. Y., (2017), Analysis of Predictive Factors for Problem Drinking Using Logistic Regression Analysis. Digital Convergence Research, 15(5), 487-494.
  7. Lee, B. D., (2018), A Study on the Influencing Factors of Adolescent Suicidal Ideation: Focusing on the Vulnerability-Stress Model. Korean Journal of Public Administration and Police Studies, 27(2), 193-216.
  8. Lim, E. H., (2004), A Review of Adolescent Mental Health Issues. Professor's Collection of Theses, 8, 303-324.
  9. OECD Health Statistics, (2023), Ministry of Health and Welfare.
  10. Oh, D. K., & Kwon, S. Y., (2019), Causal Relationships between Academic and Career Stress, Anxiety, Impulsivity, Depression, and Suicidal Ideation among Adolescents. Journal of Future Youth Studies, 16(4), 29-45.
  11. Revised Physical Activity Guidelines for Koreans, (2022), Korea Health Promotion Institute
  12. Seo, S. I., & Kim, G. K., (2022), The Impact of Types and Frequency of Physical Activity on Happiness, Mental Health, and Subjective Health Perception in Korean Adolescents. Journal of Humanities and Social Science, 13(2), 49-64.
  13. Yeom, M. J., Lee, K. J., & Lee, J. Y., (2020), Mental Health and Influencing Factors in Korean Adolescent Boys and Girls - Focused on Sexual Experience with the Opposite Sex: Using Data from the 11th Adolescent Health Behavior Online Survey. Journal of the Korean Academy of Psychiatric and Mental Health Nursing, 29(3), 195-206. https://doi.org/10.12934/jkpmhn.2020.29.3.195
  14. Youth Health Behavior Survey, (2022), Korea Disease Control and Prevention Agency.
  15. Youth Statistics, (2023), Ministry of Gender Equality and Family.