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Md Shamshuzzoha

Biographic Data

ID5678318
NAMEMd Shamshuzzoha
GIVEN NAMESMd
FAMILY NAMEShamshuzzoha
SIGNATURESHAMSHUZZOHA M
AFFILIATIONSUnited International University
ORCID0009-0003-1052-1424
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • A novel framework for seasonal affective disorder detection

    Open Access•Md Shamshuzzoha, Tazkia Tasnim Bahar Audry et al.•ARTICLE•Acta Psychologica•2025•References: 35

    Seasonal Affective Disorder (SAD) is a mood disorder characterized by recurring depressive episodes during specific seasons, particularly in Fall and Winter. With the rise of social media as a platform for self-expression, user-generated content offers valuable insights into mental health trends, presenting an opportunity for data-driven SAD detection. However, existing research faces challenges such as limited multimodal datasets, class imbalanc…

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  • A novel framework for seasonal affective disorder detection

    Open Access•Md Shamshuzzoha, Tazkia Tasnim Bahar Audry et al.•ARTICLE•Acta Psychologica•2025•References: 35

    Seasonal Affective Disorder (SAD) is a mood disorder characterized by recurring depressive episodes during specific seasons, particularly in Fall and Winter. With the rise of social media as a platform for self-expression, user-generated content offers valuable insights into mental health trends, presenting an opportunity for data-driven SAD detection. However, existing research faces challenges such as limited multimodal datasets, class imbalanc…

Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Digital Mental Health Interventions (1 work) · Emotion detection (1 work) · Emotion recognition (1 work) · Machine learning (1 work) · Mental Health via Writing (1 work) · Pattern recognition (psychology (1 work) · Psychology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae