Predicting anxiety and depression in elderly patients using machine learning technology-Reference-Cited by-同舟云学术

Predicting anxiety and depression in elderly patients using machine learning technology

Published:2017-11-10 Issue:6 Volume:4 Page:238-243
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthc. technol. lett.

Author:

Sau Arkaprabha¹^ORCID,Bhakta Ishita²

Affiliation:

1. Department of Community MedicineR.G. Kar Medical College and HospitalKolkata700 004India

2. Department of Computer Science and EngineeringWest Bengal University of TechnologyKolkata700064India

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2016.0096

Reference38 articles.

1. World Population Ageing.United Nations 2015. Available at:http://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2015_Report.pdf accessed 11 November 2016

2. Population Data. Available athttp://data.worldbank.org/indicator/SP.POP.TOTL accessed 11 November 2016

3. Health and Age‐Related Changes. Available at:http://www.apa.org/pi/aging/resources/guides/older.aspx accessed 10 November 2016

4. Mental health and older adults. Available at:http://www.who.int/mediacentre/factsheets/fs381/en/ accessed 12 November 2016

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