| dc.contributor.author | Sellahewa, Janul | |
| dc.date.accessioned | 2025-06-09T08:48:16Z | |
| dc.date.available | 2025-06-09T08:48:16Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | "Sellahewa, Janul (2024) Invasive & Non – Invasive Methods to Early Identification of Depressive Disorder. BSc. Dissertation, Informatics Institute of Technology" | en_US |
| dc.identifier.issn | 20200472 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2487 | |
| dc.description.abstract | "Mental health is the most important aspect of life. Emotional, psychological, and social wellbeing is mostly based on good mental health. Mental illnesses, on the other hand, impede people from enjoying their lives to their full potential. Depression is one of the most frequent mental health problems that people suffer from. People with serious depression disorders may resort to drastic measures such as suicide. As a result, identifying depressed people and persuading them to take medicine is critical." | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Depression risk | en_US |
| dc.subject | Biometrics Analysis | en_US |
| dc.title | Invasive & Non – Invasive Methods to Early Identification of Depressive Disorder | en_US |
| dc.type | Thesis | en_US |