Navigating the emotional maze: Understanding Adolescent suicidal ideation using CNN-LSTM model
- Title
- Navigating the emotional maze: Understanding Adolescent suicidal ideation using CNN-LSTM model
- Creator
- Rappai S.; Ramasamy G.
- Description
- Teenage suicidal ideation is on the rise, which emphasizes how crucial it is to recognize and comprehend the variables that contribute to this problem. Convolutional neural networks (CNNs), which are complex machine learning models capable of analysing intricate relationships within a network, are one possible strategy for addressing this issue. In our study, we employed a CNN-LSTM hybrid model to explore the complex relationships between teen suicide ideation and various risk variables, including depression, anxiety, and social support by analysing a substantial dataset of mental health surveys, seeking patterns and risk factors associated with suicidal thoughts. Our objective was clear: identify adolescents prone to suicidal ideation. With 24 parameters and a sample size of 3075 subjects, our model achieved an impressive F1-score of 97.8%. These findings provide valuable insights which helps in developing effective preventive interventions to address adolescent suicidal ideation, finding out the important patterns and risk variables related to suicidal thoughts. The study results offer important direction for developing preventive interventions that successfully address adolescent suicidal ideation. 2024 - IOS Press. All rights reserved.
- Source
- Intelligent Decision Technologies, Vol-18, pp. 1797-1811.
- Date
- 2024-01-01
- Publisher
- IOS Press BV
- Subject
- adolescents; Convolutional neural network; machine learning; neural networks; suicide detection; suicide ideation
- Coverage
- Rappai S., Department Of Computer Science, Christ (Deemed To Be University), Karnataka, Bangalore, India; Ramasamy G., Department Of Computer Science, Christ (Deemed To Be University), Karnataka, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 18724981
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Rappai S.; Ramasamy G., “Navigating the emotional maze: Understanding Adolescent suicidal ideation using CNN-LSTM model,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 18, 2025, https://archives.christuniversity.in/items/show/13415.