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A survey on multimodal data-driven smart healthcare systems: approaches and applications

Cai, Qiong, Wang, Hao, Li, Zhenmin and Liu, Xiao 2019, A survey on multimodal data-driven smart healthcare systems: approaches and applications, IEEE Access, vol. 7, pp. 133583-133599, doi: 10.1109/ACCESS.2019.2941419.

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Title A survey on multimodal data-driven smart healthcare systems: approaches and applications
Author(s) Cai, Qiong
Wang, Hao
Li, Zhenmin
Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0001-8400-5754
Journal name IEEE Access
Volume number 7
Start page 133583
End page 133599
Total pages 17
Publisher IEEE
Place of publication Piscataway, Pa.
Publication date 2019
ISSN 2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Smart healthcare
clinical decision support
data-driven reasoning
multimodal fusion
survey
CLINICAL DECISION-SUPPORT
BIG DATA
ARTIFICIAL-INTELLIGENCE
DIABETIC-RETINOPATHY
SEMANTIC ANALYSIS
FUSION
INFORMATION
EXTRACTION
NETWORK
CANCER
Summary Multimodal data-driven approach has emerged as an important driving force for smart healthcare systems with applications ranging from disease analysis to triage, diagnosis and treatment. Smart healthcare system necessitates new demands for data management and decision-making, which has inspired the rapid development of medical services using artificial intelligence and new transformations in the healthcare industry. In this paper, we provide a comprehensive survey of existing techniques which include not only state-of-the-art methods but also the most recent trends in the field. In particular, this review focuses on the types of decision-making processes used in smart healthcare systems. Firstly, approaches that utilize multimodal association mining with fine-grained data semantics in smart healthcare systems are introduced. We review the smart healthcare-oriented semantic perception, semantic alignment, entity association mining, and discuss the pros and cons of these approaches. Secondly, we discuss approaches for multimodal data fusion and cross-border association that have been employed in developing smart healthcare systems. Finally, we focus specifically on the use of the panoramic decision framework, interactive decision making, and intelligent decision support systems. We introduce how smart healthcare systems can be applied to and benefit a wide variety of fields, including knowledge discovery and privacy protection.
Language eng
DOI 10.1109/ACCESS.2019.2941419
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30133094

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.