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Md Musfique Anwar

Datos Biográficos

ID8308927
NOMBREMd Musfique Anwar
NOMBRESMd Musfique
APELLIDOAnwar
FIRMAANWAR M M
AFILIACIONESJahangirnagar University
ORCID0000-0001-5159-1865
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • AI-Enabled Deep Depression Detection and Evaluation Informed by DSM-5-TR

    Open Access•Tabia Tanzin Prama, Md Saiful Islam et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Depression, a prevalent and debilitating mental health disorder, affects millions of individuals worldwide, profoundly impacting their quality of life. Early identification and diagnosis of depression and its intensity are crucial for effective treatment and management. However, many people with depression do not seek professional help, especially in the early stages. In recent years, social media platforms like Twitter have gained popularity as …

Sin obras prominentes en esta página.

  • AI-Enabled Deep Depression Detection and Evaluation Informed by DSM-5-TR

    Open Access•Tabia Tanzin Prama, Md Saiful Islam et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Depression, a prevalent and debilitating mental health disorder, affects millions of individuals worldwide, profoundly impacting their quality of life. Early identification and diagnosis of depression and its intensity are crucial for effective treatment and management. However, many people with depression do not seek professional help, especially in the early stages. In recent years, social media platforms like Twitter have gained popularity as …

Artificial Intelligence (1 obra) · Computer Science (1 obra) · Economics (1 obra) · Functional Brain Connectivity Studies (1 obra) · Mental Health Research Topics (1 obra) · Mental Health via Writing (1 obra) · Psychology (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae