The week's pick
Reseach Article
To Study, Analyze and predict the Diseases using Big Data
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 165 - Number 7 |
| Year of Publication: 2017 |
| Authors: Archana Bakare, Rajesh Argiddi |
10.5120/ijca2017913917
|
Archana Bakare, Rajesh Argiddi . To Study, Analyze and predict the Diseases using Big Data. International Journal of Computer Applications. 165, 7 ( May 2017), 17-19. DOI=10.5120/ijca2017913917
Abstract
As we know in today’s life Twitter, Facebook, Google plus are well known social media now that user can use this application for different purposes. Nowadays many people have many social accounts Twitter is an online news and social networking service where users post and interact with messages, "tweets," limited to 140 characters. Registered users can write tweets, but those who are unregistered can only read them. Users access Twitter through its website or a mobile device app. Twitter is one of the growing social site that people are using for connecting, sharing with each other. There is number of short text messages posted by many people called as tweets. It is very hard to do analysis of social media data which has large amount of noisy, informal text of tweet messages and stream data.
References
- Predicting Asthma-Related Emergency Department Visits Using Big Data Sudha Ram, Member, IEEE, Wenli Zhang, Max Williams, and Yolande Pengetnze, MD
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- Culotta, Aron. "Towards detecting influenza epidemics by analyzing Twitter messages." In Proceedings of the firstworkshop on social media analytics, pp. 115-122. ACM, 2010.
- By L Fernandez-Luque - 2011 Review of extracting information from the Social Web for health personalization. Fernandez-Luque L(1), Karlsen R, Bonander J.
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