Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Navigating the emotional maze: Understanding Adolescent suicidal ideation using CNN-LSTM model Subject The topic of the resource adolescents; Convolutional neural network; machine learning; neural networks; suicide detection; suicide ideation Description An account of the resource 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. Creator An entity primarily responsible for making the resource Rappai S.; Ramasamy G. Source A related resource from which the described resource is derived Intelligent Decision Technologies, Vol-18, pp. 1797-1811. Publisher An entity responsible for making the resource available IOS Press BV Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3233/IDT-240790" target="_blank" rel="noreferrer noopener">https://doi.org/10.3233/IDT-240790</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210317542&amp;doi=10.3233%2FIDT-240790&amp;partnerID=40&amp;md5=984fd85a49a09071e72feb794095584d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210317542&amp;doi=10.3233%2fIDT-240790&amp;partnerID=40&amp;md5=984fd85a49a09071e72feb794095584d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18724981 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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