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 |