로지스틱 회귀분석을 통한 청년 우울감의 다변량 분석 및 영향 요인 연구
Multivariate Analysis and Determinants of Youth Depression through Logistic Regression
- 한국인공지능학회
- 한국인공지능학회지
- Vol.1 No.2
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2023.127 - 13 (7 pages)
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DOI : 10.24225/jkaia.2023.1.2.7
- 68
In this paper, Depression is a mental disorder characterized by a lack of enthusiasm and feelings of sadness, which significantly impairs daily functioning. In 2018, there was an increase in book sales in the essay genre, particularly the popularity of “healing essays.” This trend is seen as challenging the negative image and prejudices associated with depression. In 2021, a significant rise in the proportion of 20-year-old patients with depression is attributed to factors like job-related stress, interpersonal issues, and financial burdens. Additionally, there is a strong correlation between depression and suicidal thoughts, particularly among individuals who have experienced feelings of depression. Despite the increasing prevalence of depression among young adults, research in this area is lacking. To address this gap, statistical tools such as logistic regression and chi-squared tests are employed. The analysis reveals various independent variables associated with feelings of depression, shedding light on the relationships between these factors.
1. Introduction
2. Related Researches
3. Related Researches
4. Simulation
5. Experiment Result
6. Conclusion
References
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