Medical Data Analytics in Internet of Things : A Survey

Authors(2) :-T. Aparna, Dr. G. R. Sakthidharan

This paper discuss about Big Data could be used in order to help the improvement of other fields except for the telecommunication field. Due to the Health field, the Big Data technology could to give in order to achieve with the aim to help for the purpose of analysis and management of the huge amounts of health data. The main objective of this research proposal is an analytical study of the technologies IoT, Cloud Computing (CC) and large scale data (Big Data) solve various issues facing by the health sector in relation to these technologies. The purpose of the research proposal is the collection of medical (e-health) big data in real time. Sensor devices and actuators will perform the collection, which will wear patients who suffer from various ailments, The data through a network to a cloud server. Additionally, these data will be processed in the cloud, which makes its analysis so as to become meaningless. By the analysis of these data is done the data mining. Finally, to address the various problems in the health sector, the transfer of the analyzed health data will be held by the devices of the relevant persons. Also , in our study, we will deal with the security of medical data which be a part of personal data and must be protected.

Authors and Affiliations

T. Aparna
M.Tech, Department of CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India
Dr. G. R. Sakthidharan
Professor, Department of CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India

Big Data, Cloud Computing, IoT, Healthcare

  1. Andreas P. Plageras, Kostas E. Psannis, Yutaka Ishibashi, and ByungGyu Kim, "IoT-based Surveillance System for Ubiquitous Healthcare", 42nd Annual Conference of the IEEE Industrial Electronics Society, December 2016.
  2. D. Tomtsis, S. Kontogiannis, G. Kokkonis, I. Kazanidis, S. Valsamidis, "Proposed cloud infrastructure of wearable and ubiquitous medical services", 5th Int. Conf. on Digital Information Processing and Communications (ICDIPC 2015), pp. 213-218, Switzerland, Oct. 2015.
  3. Sunita Sahu and Yugchhaya Dhote, "A Study on Big Data: Issues, Challenges and Applications", International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), 2016
  4. C. Stergiou & K. E. Psannis, "Recent advances delivered by Mobile Cloud Computing and Internet of Things for Big Data applications: a survey," International Journal of Network Management, pp. 1-12, 11/3/2016.
  5. C. Stergiou, K.E. Psannis, B.-G. Kim, B. Gupta, "Secure integration of IoT and Cloud Computing", Future Generation Computer Systems (2016).
  6. Project Management Practitioners, Conference 2014, Architecting Project Management for transforming lives, Vijayakannan Sermakani, Robert Bosch Engineering and Business Ltd, "Transforming healthcare through Internet of Things", November 20th – 22nd, Thu-Sat, 2014, Nimhans  Convention Center, Bangalore. 
  7. Stergiou Christos, Kostas E. Psannis, "Efficient and Secure Big Data delivery in Cloud Computing", Date Submitted: 23/12/2016, In Press.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 905-908
Manuscript Number : CSEIT1726242
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

T. Aparna, Dr. G. R. Sakthidharan, "Medical Data Analytics in Internet of Things : A Survey", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.905-908, November-December-2017.
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