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Design and implementation of an e-Health system for depression detection
University of Aizu, Aizuwakamatsu, Japan.
Hanoi University of Science and Technology, Hanoi, Vietnam.
Vietnam Academy of Science and Technology, Hanoi, Vietnam.
University of Aizu, Aizuwakamatsu, Japan.
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2015 (English)Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

We present the design and implementation of a cost-effective e-Health system for automatic depression detection. The system is based on a client-server architecture, where clients are popular mobile devices. For practical deployment, various factors that affect the accuracy and speed of depression detection are discussed and evaluated with extensive experiments.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 74-75 p.
Series
2015 IEEE International Conference on Consumer Electronics (ICCE), ISSN 2158-3994, E-ISSN 2158-4001
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-128587DOI: 10.1109/ICCE.2015.7066324Scopus ID: 2-s2.0-84936122537ISBN: 978-1-4799-7543-3 (electronic)OAI: oai:DiVA.org:liu-128587DiVA: diva2:932945
Conference
2015 IEEE International Conference on Consumer Electronics (ICCE. 9-12 Jan. 2015, Las Vegas, NV
Available from: 2016-06-02 Created: 2016-05-25 Last updated: 2017-09-22Bibliographically approved

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Pham, Tuan D
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf