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International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
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2455-2631


Issue: July 2019

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Paper Title: Predicting the Disease Out Breaks Using Social Networks
Authors Name: G.Lakshmi , A Haritha , PV Naveen Kumar , Y.N.S. Ayyappa
Unique Id: IJSDR1606066
Published In: Volume 1 Issue 6, June-2016
Abstract: Data is being produced colossally on social media, a platform where people voice their experiences & opinions on varied contexts. Health Care being one of them, topics like health conditions, their symptoms, treatments, side effects, and so on will be discussed inevitably. This makes the publicly available social media data an invaluable resource for mining such data to discover interesting and actionable healthcare insights. The main objective of our project is to reduce the impact of seasonal influenza epidemics. We present the method, which monitors messages posted on Twitter with a mention of flu indicators to track and predict the emergence and spread of an influenza epidemic in a population. Based on the data collected during 2 weeks from 20th December 2015.The analysis results will subsequently reported visually in terms of, distribution of flu types, flu symptoms, and flu treatments. This method can be very useful for early prediction of flu outbreaks, which in turn can facilitate faster and better response preparation.
Keywords: Tokenize and Stopwords, Correlation Analysis, WordCloud, Twitter
Cite Article: "Predicting the Disease Out Breaks Using Social Networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 6, page no.380 - 384, June-2016, Available :http://www.ijsdr.org/papers/IJSDR1606066.pdf
Downloads: 0001364
Publication Details: Published Paper ID: IJSDR1606066
Registration ID:160562
Published In: Volume 1 Issue 6, June-2016
DOI (Digital Object Identifier):
Page No: 380 - 384
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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