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Utilizing Machine Learning for Self Assessment of Mental Well-being, Informed by Expert Insights and Student ExperiencesBy Amani Nazir, Khallikkunaisa ., Arbiya Fathima, Arshiya Tabassum, Fathima Fida T.V.
Abstract: Monitoring one's own well-being is of utmost importance in bolstering mental health. Recent research involving college student populations has investigated the long-term feasibility of recording daily emotional states, activities, and social interactions. The prevalence of mental health issues is on the rise, particularly among young adults and adolescents, placing university students at a heightened risk due to challenges related to fitting in and forming connections in diverse social environments. Many …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 2, 2023 · pp. 55–64 Read article →