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59 articles for “Mental Health”
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Research ArticleOpen accessIn the abstractAssessing the Gender Dimensions of Drug Abuse Among Women and Girls in Maiduguri: Challenges and ImplicationsFredrick WilsonThis study examines the gender-specific dimensions of drug abuse among women and girls in Maiduguri, North East Nigeria, a region affected by insurgency, poverty, and restrictive socio-cultural norms. While national data indicate rising female substance use, interventions and research have largely overlooked women’s unique challenges. Drawing on in-depth interviews and focus group discussions, the study explores structural, emotional, and socio-cultural … …Journal of Social Sciences, Vol. 22, Issue 1 · 7 Sep 2026 · 816 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnxiety-Focused Classification Using Smartphone-Based Gait Analysis and Deep Learning ModelsMinchan Kang, Gou-Sung Degbey, Hyunhwa Lee et al.Mood disorders, such as anxiety, significantly impact individual well-being and present challenges to healthcare systems globally. Traditional screening methods, including self-administered symptom questionnaires, provide valuable insights into symptoms but may miss dynamic fluctuations. This study explores the potential of smartphone inertial sensors and deep learning models for anxiety risk classification. Using gait data from 36 participants, collected via smartphone accelerometers … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 826 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Machine Learning for the Detection of Depression and Mindfulness as a Mitigation MethodSantiago Domingo Moquillaza Henriquez, Liliana Ruth Huamán Rondón et al.Depression is a global mental health problem with various causes. Nowadays, with Artificial Intelligence, it can be predicted in order to take preventive measures, whether at a psychotherapeutic or pharmacological level. This research, based on a survey conducted, detects depression using logistic regression with a 91% fit to the ROC-AUC model, accuracy of 0.839188, precision 0.851354. In addition, a study … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,224 accessesView PDFCite
Research ArticleOpen accessIn the abstractCulture and Religion Meaning-Making Coping Strategies in Wartime: Insights from a Qualitative Study on the Coping Experiences of UkrainiansFereshteh Ahmadi, Nataliia Melnyk et al.This study explores how Ukrainians use religious and spiritual meaning-making coping strategies during the ongoing war, shaped by cultural traditions, historical experiences, and personal circumstances. Its aim is to deepen understanding of culturally relevant resilience mechanisms in extreme adversity. Using a qualitative design, 67 semi-structured interviews were conducted across diverse Ukrainian regions between January 2024 and June 2025. Participants varied … …Journal of Social Sciences, Vol. 22, Issue 1 · 8 May 2026 · 2,451 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuicide Ideation and Risk Detection from Social Media Using GPT ModelsSara Lasri, El Habib Nfaoui, Karima MrizikAs a reason for the sensitiveness of suicide ideation and its considerable impact on people's lives, the demand to treat and prevent the suicide ideation issue has become an obligation. Suicide ideation is a result of a combination of psychological pain and hopelessness. According to the World Health Organization, the task of reducing the global suicide mortality rate is a … …Journal of Computer Science, Vol. 20, Issue 10 · 26 Aug 2024 · 5,708 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Designing Framework for Ant Colony Algorithm for Managing Cognitive InsomniaRoqia Rateb, Amal Shorman, Ahmad Sami Al-Shamayleh et al.Insomnia, a condition characterized by poor sleep quality, significantly impacts cognitive function, mood, and overall well-being. Traditional treatments like medication and psychological therapies, while effective, often come with limitations such as high costs and limited scalability. This study addresses these challenges by proposing an Ant Colony Optimization (ACO) algorithm-based approach to create a dynamic support network for individuals suffering from … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractXAI_MLPCNN: A Novel Explainable AI-Based Deep Learning Framework for Stress IdentificationFateh Bahadur Kunwar, Rakesh Kumar Yadav, Hitendra Singh, Nitin TripathiOver the past ten years, there has been a lot of emphasis focusedon the development of Artificial Intelligence (AI) and Machine Learning(ML)-based mental health treatments. To increase practitioners' and patients'trust in AI applications, AI systems need to explain their actions. This iscalled Explainable AI (XAI). While significant progress has been achievedin stress prediction models, XAI has not advanced as much. … …Journal of Computer Science, Vol. 21, Issue 5 · 6 May 2025 · 6,173 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring the Knowledge, Recognition and Management of Delirium amongst Nursing Home StaffSusan McGrory, Marie O’Neill, Paul SlaterResearch into nursing knowledge of delirium has revealed a lack of adequate understanding in a variety of settings. The negative impacts of delirium on older adults are well documented and it is recognized that residents of nursing homes are a high-risk group. Little research so far has explored the knowledge of staff and care processes for the management of delirium … …International Journal of Research in Nursing, Vol. 15, Issue 1 · 27 Sep 2024 · 8,128 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrognosis of Dementia Using Early Fusion Approach with Digital Clock Drawing and Trail-Making TestsShridevi Karande, Vrushali KulkarniDementia poses a substantial global public health challenge. Emerging evidence suggests that COVID-19's neurological impact may aggravate dementia incidences. Timely recognition and management can significantly decelerate dementia progression and enhance affected individuals' quality of life. In the realm of cognitive assessment, the Clock Drawing Test (CDT) and Trail-Making Test (TMT) stand as prominent tools. Existing research predominantly focuses on the … …Journal of Computer Science, Vol. 20, Issue 8 · 10 Jun 2024 · 4,730 accessesView PDFCite
Research ArticleOpen accessIn the abstractAspect-Based Sentiment Classification for Detecting the Cognitive Triad Mechanism of DepressionShreekant Jere, Annapurna P PatilThe cognitive triad mechanism of Beck’s cognitive theory is critical for early diagnosis and prognosis of depression. According to the cognitive triad mechanism, negative views about the self, the future, and the world appear to be routine in depressed people, occurring spontaneously. The challenge in the clinical interview is that the individuals may have trouble explaining their past and current … …Journal of Computer Science, Vol. 18, Issue 12 · 28 Nov 2022 · 6,124 accessesView PDFCite