Cloud Computing, Edge Computing, Internet of Things and Big Data Analytics Applications for Healthcare Industry 4.0

  in Special Issue   Posted on August 17, 2017

Information for the Special Issue

Submission Deadline: Thu 30 Nov 2017
Journal Impact Factor : 6.764
Journal Name : IEEE Transactions on Industrial Informatics
Journal Publisher:
Website for the Special Issue: http://www.ieee-ies.org/images/files/tii/ss/2017/CFP-MedInd4.0-2017-7-6.pdf
Journal & Submission Website: http://www.ieee-ies.org/pubs/transactions-on-industrial-informatics

Special Issue Call for Papers:

Topics of interest include, but are not limited to
l – Cloud, Edge, IoT and big data based architectures, systems and applications for Healthcare Industry 4.0.
l -Hardware medical devices supporting Healthcare Industry 4.0.
l -Cloud computing, Edge computing, IoT and big data solutions influencing the healthcare industrial production cycle. Cloud, Edge, IoT
and big data solutions for improving manufacturing, market processes, product quality and productivity of Healthcare Industry 4.0.
l -Business model for Healthcare Industry 4.0.
l -Cloud, Edge, IoT and big data solutions improving the interaction among competitors and clients.
l -Cloud, Edge, IoT and big data architectures for telemedicine.
l -Cloud, Edge, IoT and big data based applications for cognitive computing
l -Cloud, Edge, IoT and big data based applications for neurovision,
l -Cloud, Edge, IoT and big data based applications for mass customization
l -Cloud, Edge, IoT and big data based services and applications for tele-nursing, telerehabilitation, tele-dialog, tele—monitoring, tele-
analysis, tele-pharmacy, tele-trauma care, tele-psychiatry, teleradiology, tele-pathology, tele-dermatology, teledentistry, teleaudiology,
tele-ophthalmology.
l -Healthcare signal and data processing for Healthcare Industry 4.0.
l -Computer aided clinical diagnosis and therapies.
l -Decision support and therapy.
l -Cloud, Edge, IoT and big data based solutions for chronic disease management
l -Cloud, Edge, IoT and big data based services for optimization issues in eHealth.
l -Integration of Cloud, Edge, IoT and big data based services among different clinical centers

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