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Abstract:
Brain informatics adopts a systematic methodology to study clinical diagnosis and pathology of mental disorders from macro, meso and micro points of view. Systematic studies produce multi-level and multi-aspect health big data of mental disorders. Effectively integrating multi-level mental health big data and providing multi-level and content-oriented data services for different types of users by an open and extendable mode becomes new requirements on the acquisition and computing of mental health big data. The existing Data-Brain-based brain data center cannot meet these new requirements. This paper proposes a brain and health big data center and develops a content-oriented cloud service architecture, namely, wisdom as a service, for realizing the brain and health big data center. The illustrative example demonstrates significance and usefulness of the proposed approach.
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IEEE TRANSACTIONS ON CLOUD COMPUTING
ISSN: 2168-7161
Year: 2020
Issue: 2
Volume: 8
Page: 539-552
6 . 5 0 0
JCR@2022
ESI Discipline: COMPUTER SCIENCE;
ESI HC Threshold:132
Cited Count:
WoS CC Cited Count: 1
SCOPUS Cited Count: 4
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
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