Multi-level big data content services for mental health care

Chen, Jianhui and Han, Jian and Deng, Yue and Zhong, Han and Wang, Ningning and Li, Youjun and Wan, Zhijiang and Kotake, Taihei and Wang, Dongsheng and Tao, Xiaohui and Zhong, Ning (2016) Multi-level big data content services for mental health care. In: Wisdom web of things, Part II. Web Information Systems Engineering and Internet Technologies Book Series. Springer International Publishing, Switzerland, pp. 155-180. ISBN 978-3-319-44196-2

Abstract

Systematic brain informatics studies on mental health care produce various health big data of mental disorders and bring new requirements on the data acquisition and computing, from the data level to the information, knowledge and wisdom levels. Aiming at these challenges, this chapter proposes a brain and health big data center. A global content integrating mechanism and a content-oriented cloud service architecture are developed. The illustrative example demonstrates significance and usefulness of the proposed approach.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 17 Feb 2017 03:04
Last Modified: 09 Nov 2017 04:21
Uncontrolled Keywords: wisdom as a service; mental health care; data-brain; brain informatics; provenances
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
08 Information and Computing Sciences > 0807 Library and Information Studies > 080702 Health Informatics
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970117 Expanding Knowledge in Psychology and Cognitive Sciences
Identification Number or DOI: 10.1007/978-3-319-44198-6_7
URI: http://eprints.usq.edu.au/id/eprint/30367

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