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ETHNOS_APP

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Md Musfique Anwar

Dados Biográficos

ID8308927
NOMEMd Musfique Anwar
PRENOMESMd Musfique
SOBRENOMEAnwar
ASSINATURAANWAR M M
AFILIAÇÕESJahangirnagar University
ORCID0000-0001-5159-1865
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2024
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 …

Sem obras proeminentes nesta 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 • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae