决策树模型在中学生心理健康评估工作的应用——以天津市六力学校为例
Application of Decision Tree Model in Middle School Students’ Mental Health Assessment—A Case Study of Tianjin Liuli School
摘要: 目的:探究决策树模型能否成为中学生心理健康测评工作中可应用的高效分析手段。方法:采用决策树模型对299名中学生的554心理健康问题的代表性指标进行研究。结果:决策树分析结果显示,中学生心理问题最重要的指标是自杀分数,其次是抑郁情绪、对人焦虑和躯体症状。结论:决策树模型在中学生心理健康测评工作中能够科学地提升效率,具有一定应用价值。
Abstract:
Objective: To explore whether decision tree model can be used as an efficient analysis method in the evaluation of middle school students’ mental health. Methods: The representative indicators of mental health problems of 299 middle school students were studied by using decision tree model. Results: The results of decision tree analysis show that suicide score is the most important index of middle school students’ psychological problems, followed by depression, anxiety and physical symptoms. Conclusion: Decision tree model can scientifically improve the efficiency in middle school students’ mental health assessment work and has certain application value.
参考文献
|
[1]
|
薛朝霞, 任子媛, 荆雷, 李慧(2024). 大学生自杀行为影响因素的分类决策树分析. 心理发展与教育, 40(3), 421-430.
|
|
[2]
|
周步成(1991). 心理健康诊断诊断测验(MHT). 华东师范大学出版社.
|
|
[3]
|
Beurs, D. (2022). Translating Promise into Practice: A Review of Machine Learning in Suicide Research and Prevention. The Lancet Psychiatry, 9, 243-252.[CrossRef]
|
|
[4]
|
Derogatis, L. R., Lipman, R. S., & Covi, L. (1973). SCL-90: An Outpatient Psychiatricratingscale—Preliminary Report. Psychopharmacology Bulletin, 9, 13.
|
|
[5]
|
Kim, S., Lee, H. K., & Lee, K. (2021). Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning Approaches. International Journal of Environmental Research and Public Health, 18, 3339.[CrossRef] [PubMed]
|
|
[6]
|
Kirtley, O. J., van Mens, K., Hoogendoorn. M., Kapur, N., de Spitzer R.L., Kroenke, K., &Williams, J. B. (1999). Validationandutility of a Self-Report Version of PRIME-MD: The PHQ Primary Care Study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire, 282, 1737-1744.[CrossRef] [PubMed]
|