Abstract
Although there have been many researches on the disease information system with the increased interest in disease, the existing systems have limitations in terms of emerging disease monitoring and internationalization. The purpose of this study is to develop a worldwide emerging disease-related information extraction system from news data, which provides nation-specific disease related information, disease-related topic ranking, map-based number of news articles per region, and various charts showing top disease regions and diseases. Our system is available on the web through http://www.epidemic.co.kr/worldwide.
| Original language | English |
|---|---|
| Title of host publication | SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 331-332 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450359528 |
| DOIs | |
| Publication status | Published - 2018 Nov 4 |
| Event | 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 - Shenzhen, China Duration: 2018 Nov 4 → 2018 Nov 7 |
Publication series
| Name | SenSys 2018 - Proceedings of the 16th Conference on Embedded Networked Sensor Systems |
|---|
Conference
| Conference | 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 |
|---|---|
| Country/Territory | China |
| City | Shenzhen |
| Period | 18/11/4 → 18/11/7 |
Bibliographical note
Publisher Copyright:© 2018 Copyright held by the owner/author(s).
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Computer Networks and Communications