Abstract
Rapid growth of the Internet has paved the way for millions of people across the globe to access social media platforms such as Facebook and Twitter. These social media platforms enable people to share information instantaneously. The large volume of information shared on these platforms can be leveraged to identify outbreaks of various epidemics. This will help health professionals to provide timely intervention, which in return could help save lives and millions of dollars. Analysis of information shared on social media is complicated due to its sheer volume, varied formats and velocity of collection. We have addressed this potential problem by making use of a big data analytics platform capable of handling large quantities of streaming data. In this paper we demonstrate how data from social media can be effectively used in the surveillance of disease conditions.
Original language | English |
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State | Published - 2015 |
Event | 21st Americas Conference on Information Systems, AMCIS 2015 - Fajardo, Puerto Rico Duration: Aug 13 2015 → Aug 15 2015 |
Conference
Conference | 21st Americas Conference on Information Systems, AMCIS 2015 |
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Country/Territory | Puerto Rico |
City | Fajardo |
Period | 8/13/15 → 8/15/15 |
ASJC Scopus Subject Areas
- Computer Science Applications
- Information Systems
Keywords
- Disease surveillance
- Healthcare analytics
- Information sharing
- Internet
- Social media
Disciplines
- Communication Technology and New Media
- Health Information Technology