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