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An innovative platform for person-centric health and wellness support
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Oresti Banos, Kyung Hee University
  • Muhammad Bilal Amin, Kyung Hee University
  • Wajahat Ali Khan, Kyung Hee University
  • Muhammad Afzel, Kyung Hee University
  • Mahmood Ahmad, Kyung Hee University
  • Maqbool Ali, Kyung Hee University
  • Taqdir Ali, Kyung Hee University
  • Rahman Ali, Kyung Hee University
  • Muhammad Bilal, Kyung Hee University
  • Manhyung Han, Kyung Hee University
  • Jamil Hussain, Kyung Hee University
  • Maqbool Hussain, Kyung Hee University
  • Shujaat Hussain, Kyung Hee University
  • Tae Ho Hur, Kyung Hee University
  • Jae Hun Bang, Kyung Hee University
  • Thien Huynh-The, Kyung Hee University
  • Muhammad Idris, Kyung Hee University
  • Dong Wook Kang, Kyung Hee University
  • Sang Beom Park, Kyung Hee University
  • Hameed Siddiqui, Kyung Hee University
  • Le Ba Vui, Kyung Hee University
  • Muhammad Fahim, İstanbul Sabahattin Zaim Üniversitesi
  • Asad Masood Khattak, Zayed University
  • Byeong Ho Kang, University of Tasmania
  • Sungyoung Lee, Kyung Hee University
Document Type
Conference Proceeding
Publication Date
1-1-2015
Abstract

© Springer International Publishing Switzerland 2015. Modern digital technologies are paving the path to a revolutionary new concept of health and wellness care. Nowadays, many new solutions are being released and put at the reach of most consumers for promoting their health and wellness self-management. However, most of these applications are of very limited use, arguable accuracy and scarce interoperability with other similar systems. Accordingly, frameworks that may orchestrate, and intelligently leverage, all the data, information and knowledge generated through these systems are particularly required. This work introduces Mining Minds, an innovative framework that builds on some of the most prominent modern digital technologies, such as Big Data, Cloud Computing, and Internet of Things, to enable the provision of personalized healthcare and wellness support. This paper aims at describing the efficient and rational combination and interoperation of these technologies, as well as their integration with current and future personalized health and wellness services and business.

ISBN
9783319164793
Publisher
Springer Verlag
Keywords
  • Big data,
  • Big information,
  • Big knowledge,
  • Cloud computing,
  • Context-awareness,
  • Digital health,
  • Health devices,
  • Human behavior,
  • Knowledge bases,
  • Personalized recommendations,
  • Quantified self,
  • Social networks,
  • User experience,
  • User interface
Scopus ID
84925271241
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-319-16480-9_14
Citation Information
Oresti Banos, Muhammad Bilal Amin, Wajahat Ali Khan, Muhammad Afzel, et al.. "An innovative platform for person-centric health and wellness support" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9044 (2015) p. 31 - 140 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/asad-khattak/3/