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A Review on the Role of Nano-Communication in Future Healthcare Systems: A Big Data Analytics Perspective
- Source :
- IEEE Access, Vol 6, Pp 41903-41920 (2018)
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- This paper presents a first-time review of the open literature focused on the significance of big data generated within nano-sensors and nano-communication networks intended for the future healthcare and biomedical applications. It is aimed toward the development of modern smart healthcare systems enabled with P4, i.e., predictive, preventive, personalized, and participatory capabilities to perform diagnostics, monitoring, and treatment. The analytical capabilities that can be produced from the substantial amount of data gathered in such networks will aid in exploiting the practical intelligence and learning capabilities that could be further integrated with conventional medical and health data leading to more efficient decision making. We have also proposed a big data analytics framework for gathering intelligence, form the healthcare big data, required by futuristic smart healthcare to address relevant problems and exploit possible opportunities in the future applications. Finally, the open challenges, the future directions for researchers in the evolving healthcare domain, are presented.
- Subjects :
- General Computer Science
Nano communication
Computer science
Big data
02 engineering and technology
smart healthcare
Domain (software engineering)
Health care
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
business.industry
body-centric communication
Perspective (graphical)
General Engineering
nano communication
big data analytics
020206 networking & telecommunications
Citizen journalism
021001 nanoscience & nanotechnology
Data science
lcsh:Electrical engineering. Electronics. Nuclear engineering
0210 nano-technology
business
Nano-sensors
lcsh:TK1-9971
Healthcare system
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....df781844e2f8b399a00db60dc6b07515