A machine learning model for the identification of depressive symptoms among university students in Bangladesh

Author:

TALUKDER Ashis,HASAN Muhammad M.,HAQ Iqramul,SHARIFUL ISLAM Sheikh M.

Publisher

Edizioni Minerva Medica

Subject

Psychiatry and Mental health

Reference37 articles.

1. World Health Organization. Depression; 2019 [Internet]. Available from: https://www.who.int/news-room/fact-sheets/detail/depression [cited 2021, Dec 22].

2. The Lancet. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970-2016: a systematic analysis for the Global Burden of Disease Study; 2017 [Internet]. Available from: https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(17)31833-0/fulltext#%20 [cited 2021, Dec 22].

3. Clarke C. The way universities are run is making us ill: inside the student mental health crisis.; 2019 [Internet]. Available from: https://www.theguardian.com/society/2019/sep/27/anxiety-mental-breakdowns-depression-uk-students [cited 2021, Dec 22].

4. Social and behavioural factors associated with depressive symptoms among university students in Cambodia: a cross-sectional study

5. Prevalence and factors associated with depression among medical students in Cameroon: a cross-sectional study

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