NSU Research Contributions
Title : SAD: Self-assessment of depression for Bangladeshi university students using machine learning and NLP
Authors : Md Shawmoon Azad, Shakirul Islam Leeon, Riasat Khan, Nabeel Mohammed, Sifat Momen
| Journal Title: Array | Volume Number: 25 | Publication Year : 2025 | Issue Number: 3 |
| Index: scopus | Ranking: Q1 | ISSN: 2590-0056 | |
| Pages : 100372 | |||
| Funding Source : NSU | CTRGC Code : CTRG-23-SEPS-16 | Year of Funding : 2023 |
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Direct Sustainable Development Goals : SDG3 Good Health & Well-being |
Indirect Sustainable Development Goals : SDG3 Good Health & Well-being |
Sustainable Development Sub Goals : Reduce premature mortality from non-communicable diseases and promote mental health and well-being |
| Collaboration: None | Keywords: Depression diagnosis, Machine learning, Explainable AI, Large language models, BERT, Chain of thought, Tree of thought |
