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SAD: Self-assessment of depression for Bangladeshi university students using machine learning and NLP
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A Platform for Connectivity and Synergy between Parents and Teachers of Children with Autism
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Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide Study
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Predicting the Transition From Depression to Suicidal Ideation Using Facebook Data Among Indian-Bangladeshi Individuals: Protocol for a Cohort Study
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Impact of socio-economic factors on female students’ enrollments in science, technology, engineering and mathematics and workplace challenges in Bangladesh.
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A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based Approach
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Roles of Technology for Risk Communication and Community Engagement in Bangladesh during COVID-19 Pandemic
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