Classification of unipolar and bipolar depression using machine learning techniques. (January 2021)
- Record Type:
- Journal Article
- Title:
- Classification of unipolar and bipolar depression using machine learning techniques. (January 2021)
- Main Title:
- Classification of unipolar and bipolar depression using machine learning techniques
- Authors:
- Suen, Paulo J C
Goerigk, Stephan
Razza, Lais B
Padberg, Frank
Passos, Ives Cavalcante
Brunoni, Andre R - Abstract:
- Highlights: Machine learning models might correctly classify between uni and bipolar depression Clinical and sociodemographic information are important predictors Such models can be applied as screening tools in health services Exploring different algorithms according to available dataset may improve results
- Is Part Of:
- Psychiatry research. Volume 295(2021)
- Journal:
- Psychiatry research
- Issue:
- Volume 295(2021)
- Issue Display:
- Volume 295, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 295
- Issue:
- 2021
- Issue Sort Value:
- 2021-0295-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Psychiatry -- Periodicals
Psychiatry -- periodicals
Psychiatrie -- Périodiques
616.89 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01651781 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.psychres.2020.113624 ↗
- Languages:
- English
- ISSNs:
- 0165-1781
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6946.263700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15404.xml