Author(s): Sornalakshmi. K, Vadivu. G, Sujatha G, Hemavathi. D

Email(s): Email ID Not Available

DOI: 10.5958/0974-360X.2017.00621.7   

Address: Sornalakshmi. K*, Vadivu. G, Sujatha G, Hemavathi. D
Department of Information Technology, SRM University, Kattankalathur–603203, India
*Corresponding Author

Published In:   Volume - 10,      Issue - 10,     Year - 2017


ABSTRACT:
Adverse Drug Reactions (ADRs) are unintended effects caused by drugs prescribed for various diseases. ADR presents a significant medical problem and various government initiated ADR reporting platforms are available in many countries. Pharmacovigilance is the process of comprehending the drugs, its behaviour and preventing any such undesirable effect on consumption of the drug as prescribed. With the growing rate of discussions flowing through social media, researchers and industries have started exploring them for vital information leading to prospective insights. We explore the advantages of using the data from social media in mining and detection of events related to ADR. In this paper, we summarize the different techniques used to extract the ADR mentions in social media.


Cite this article:
Sornalakshmi. K, Vadivu. G, Sujatha G, Hemavathi. D. A Survey on using Social Media Data Analytics for Pharmacovigilance. Research J. Pharm. and Tech 2017; 10(10):3474-3478. doi: 10.5958/0974-360X.2017.00621.7

Cite(Electronic):
Sornalakshmi. K, Vadivu. G, Sujatha G, Hemavathi. D. A Survey on using Social Media Data Analytics for Pharmacovigilance. Research J. Pharm. and Tech 2017; 10(10):3474-3478. doi: 10.5958/0974-360X.2017.00621.7   Available on: https://rjptonline.org/AbstractView.aspx?PID=2017-10-10-45


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RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

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