Title: Survey on data analytics techniques in healthcare using IOT platform

Authors: Gokulnath Chandra Babu; S.P. Shantharajah

Addresses: School of Information Technology and Engineering, VIT University, Vellore, India ' School of Information Technology and Engineering, VIT University, Vellore, India

Abstract: The large amount of data generated by internet of things (IOT) has high impact values, the mining algorithms with IOT used to get the meaningful information that has been hidden in the data. In this paper a system designed to review the data in the knowledge view, technique view and application view, including clustering, classification, time series, association, outlier analysis and the application used in mining algorithm are surveyed. As more and more devices connected to internet of things, large volume of data should be analysed. At last architecture has been suggested for big data mining system.

Keywords: internet of things; IOT; radio-frequency identification; RFID; FMMEA; near field communication; NFC; prognostics and health management; PHM; CBM; time to failure; TTF; SVM; ultra-wide bandwidth; UWB; DFT.

DOI: 10.1504/IJRIS.2018.096197

International Journal of Reasoning-based Intelligent Systems, 2018 Vol.10 No.3/4, pp.183 - 196

Received: 26 Apr 2017
Accepted: 30 Jun 2017
Published online: 19 Nov 2018 *

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