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EHealth and Big Data in Medicine
Submission Deadline: May 20, 2015
Lead Guest Editor
Professor Jivka Borislavova Vinarova
Healthcare and social sciences department, New Bulgarian University, Sofia, Bulgaria
Guest Editor
  • Iliya Ivanov Pendzhurov
    Healthcare and Social Sciences Department, New Bulgarian University, Sofia, Bulgaria
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=251). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.
The term Big data ( Great Information arrays) for first time to mentions in 1997 in report "Application-Controlled Demand Paging for Out-of-Core Visualization", read 8th Conference on visualization organized by IEEE (www.ieee.org / about / ieee_history.html). On conference USENIX is shown presentation "Big Data and the Next Wave of Infra Stress", but the generation of idea started in 1975, when Japanese ministry of Posts and Telecommunications begins to explore quantitatively the Information flow in Japan - Information Flow Census (idea for this measurement is offered in 1969). This happened 15 years before the World Wide Web was created!

Big Data in Health combines all the electronic health data, which is so large and complicated that they are almost impossible to cultivate with traditional or common tools and methods for managing them. Circulating Big Data in healthcare is striking not only because of its volume, but also because of the type`s diversity and changing and managing rate. The main are:

1. clinical data for decision support by the CIS with different specialization (diagnostic, prognostic, with elements of artificial intelligence, management, nursing, etc.), mainly standardized data from electronic patient records (EPRs)
2. registered data from monitoring sensors and recording Devices
3. expert generated specific indicators; written notes and medical prescriptions
4. sound recordings and visual images
5. specialized research
6. drug data
7. emergency data
8. any administrative-passport data
9. Insurance and health insurance
10. Social media publications, including Twitter feeds, blogs, status updates on Facebook and other platforms and web pages
11. data from non-conventional medicine - traditional practices, experience and user results; non-professional health and medical initiatives
12. Regulatory and statutory health documents from the fields of social medicine, public health, medical science, health market, politics and culture.
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