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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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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: | 000337073 |
| 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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