Comparison Analysis on Medical Data Mining for Drug Suggestion

Authors(3) :-M. Robinson Joel, Gandhi Jabakuma, W. Mercy

The drug back reaction measurement is the most important part of the drug safety assessment. In the early days, the measurement is made by trailing the impact after the course of many examples. In the pharmaceutical industries, the most interesting research topic is adverse drug detection which rules the world. In the 21century , the data available in the medical field gave an important development in motivating of an adverse event. Recently, many people put forward the statistical data and also the mining methods which are largely implemented to detect the drug adverse event. In the following paper, we explain more methods explained by expert’s researchers in the dynamic domain of data.

Authors and Affiliations

M. Robinson Joel
Department of CSE, SMK Fomra Institute of Technology, Tamil Nadu, India
Gandhi Jabakuma
Department of CSE, SMK Fomra Institute of Technology, Tamil Nadu, India
W. Mercy
Department of CSE, Agni College of Engineering, Tamil Nadu, India

Medical Data Mining, Drug Safety Assessment, MGPS, FDA, FUZZY Logic

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2016
Date of Publication : 2016-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 567-570
Manuscript Number : IJSRSET196157
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

M. Robinson Joel, Gandhi Jabakuma, W. Mercy, " Comparison Analysis on Medical Data Mining for Drug Suggestion, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 5, pp.567-570, September-October-2016. Available at doi : https://doi.org/10.32628/IJSRSET196157      Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET196157

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