DOI:10.20894/IJWT.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.78 & GIF:0.428
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJWT provides online manuscript tracking system.

Every issue of Journal of IJWT is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJWT special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJWT website. For complete procedure, contact us at admin@iirgroups.org

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 5 Issue 1 Date of Publication:   June 2016

A Survey on Adverse Drug Reactions analysis in Social Media data with Big data and Hadoop

A.Poongodi,Latha Parthiban

Page(s):   09-12 ISSN:   2278-2397
DOI:   10.20894/IJWT.104.005.001.002 Publisher:   Integrated Intelligent Research (IIR)

Due to growth of science and technology, the amount of unstructured health care data produced in social media in internet world is growing in rapid manner compared to structured health care data. This leads to quiet vast range of data availability in social media for analysing Adverse Drug Reactions of medicines, termed as Pharmacovigilance. The main objective of Pharmacovigilance is to detect, assess, and understand the adverse effect due to intake of medicines and prevention of these reactions. The dynamic growth in the unstructured social media data presents both challenges and opportunities in analysis which leads to requirement of novel solutions rather than using traditional analytic tools. Hence, Big data plays an important role in recent research works done on pharmacovigilance as it provides more efficiency in scalability. In this paper we did literature review of the research work done on Adverse Drug Reactions using social media data implemented in Big Data and Hadoop.