Proposal on wireless big data in decision support systems for analysis of health care

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Guest Editors
Prof. M.Karthikeyan
Department of CSE, Tamilnadu college of engineering , Coimbatore, India
Email: karthikeyan@tnce.in

Prof. Naveen Chilamkurti
Department of Computer Science and Information Technology, LaTrobe University, Melbourne, Australia
Email: n.chilamkurti@latrobe.edu.au

Prof. Joy Iong-Zong Chen
Department of Electrical Engineering, Da-Yeh University , Taiwan
Email: jchen@mail.dyu.edu.tw

Manuscript Topics
Development in the fields of health care and health informatics is driving major expansion in big data. The wide availability of wireless networks that have become ubiquitous in everyday life enables a wide variety of biological, pharmaceutical and medical sensing applications. The health care big data deal with the great challenges while also playing a vital part in healthcare transformation. The existing technologies do not deal with end-users Quality of Service (QoS) control mechanisms that meet the often stringent requirements of such services in terms of data availability, data response delay, etc.
It is basic to build wireless big data decision support systems, artificial intelligent techniques and programming tools for supporting fast data query, data analytics, and data visualization which can provide high Quality of Experience (QoE) for users. The progress in this area can be made by applying and expanding all around established formal models and methods from numerous domains of software engineering, for example, distributed computing, edge computing , machine learning, and so on ,But, current health care information system still do not have a successful implementation of big data solutions.
We invite investigators to contribute original research articles as well as review articles that will stimulate the continuing efforts to understand the wireless bigdata in decision support systems for analysis of health care.

Potential topics include, but are not limited to:

• Wireless and mobility support in for Big Data
• Healthcare Bigdata applications via 5G tactile internet
• Data science and modeling for health analytics
• Healthcare data integration and information fusion
• Big data collection and analysis of wireless technologies with clinical environments
• Decision support systems for analysis of Big data in pervasive medical care
• Security for pervasive medical sensor networks
• Big Data in cloud infrastructure for body area network for healthcare

Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is April 30, 2019

Instructions for authors
http://www.aimspress.com/news/295.html
Please submit your manuscript to online submission system
http://www.aimspress.com/newsinfo/1067.html

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