DocumentCode :
2406348
Title :
Social media analysis for e-health and medical purposes
Author :
Wegrzyn-Wolska, Katarzyna ; Bougueroua, Lamine ; Dziczkowski, Grzegorz
Author_Institution :
ESIGETEL, Fontainebleau-Avon, France
fYear :
2011
fDate :
19-21 Oct. 2011
Firstpage :
278
Lastpage :
283
Abstract :
The quantity of medical publications in the media such a tweets, blogs, and another content in social media is growing at an exponential rate. Exploring and analyzing this content has become a necessity. The objective of this paper is to discuss the variety of issues and challenges surrounding the perspectives regarding the use of Social Network Analyses and Text Mining methods for applications in E health and medecine. The article will first look at the directions taken in Social Media and Text Mining for medical science. First we present a review of the literature in Social Media and Text Mining analysis for medical purposes and then describe the work done for our prediction system for collecting and manipulating and Twitter data.
Keywords :
data mining; medical information systems; medicine; social networking (online); text analysis; blog; e-health; exponential rate; medecine; medical publication; medical purpose; medical science; social media analysis; social network analysis; text mining; tweets; Biomedical imaging; Data mining; Media; Training; Twitter; Vectors; Data Mining; Social Media; Social Network Analysis; Text Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2011 International Conference on
Conference_Location :
Salamanca
Print_ISBN :
978-1-4577-1132-9
Type :
conf
DOI :
10.1109/CASON.2011.6085958
Filename :
6085958
Link To Document :
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