skip to main content
10.1145/3274783.3275168acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
short-paper

Worldwide emerging disease-related information extraction system from news data

Authors Info & Claims
Published:04 November 2018Publication History

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.

References

  1. Freifeld CC, Mandl KD, Reis BY, Brownstein JS. HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. J Am Med Inform Assoc. 2008; 15: 150--157.Google ScholarGoogle Scholar
  2. Collier N, Doan S, Kawazoe A, Goodwin RM, Conway M, Tateno Y, et al. BioCaster: detecting public health rumors with a Web-based text mining system. Biomformatics. 2008; 24: 2940--2941. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Dion, P. AbdelMalik, and A. Mawudeku. 2015. Big Data: Big Data and the Global Public Health Intelligence Network (GPHIN). Canada Communicable Disease Report 41, 9 (2015), 209.Google ScholarGoogle ScholarCross RefCross Ref
  4. Keller M, Blench M, Tolentino H, Freifeld CC, Mandl KD, Mawudeku A, et al. Use of unstructured eventbased reports for global infectious disease surveillance. Emerg Infect Dis. 2009; 15: 689.Google ScholarGoogle Scholar
  5. Yoon, Jungwon, Jong Wook Kim, and Beakcheol Jang. "DiTeX: Disease-related topic extraction system through internet-based sources." PloS one 13.8 (2018): e0201933. e0201933.Google ScholarGoogle ScholarCross RefCross Ref
  6. Lee Miran, Jong Wook Kim, and Beakcheol Jang. "DOVE: An Infectious Disease Outbreak Statistics Visualization System." IEEE Access (2018).Google ScholarGoogle Scholar
  7. Jang, Beakcheol, and Jungwon Yoon. "Characteristics Analysis of Data From News and Social Network Services." IEEE Access 6 (2018): 18061--18073.Google ScholarGoogle ScholarCross RefCross Ref
  8. de Almeida HM, Gonçalves MA, Cristo M, Calado P. A combined component approach for finding collection-adapted ranking functions based on genetic programming. Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval. ACM; 2007. pp. 399--406. Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
    November 2018
    449 pages
    ISBN:9781450359528
    DOI:10.1145/3274783

    Copyright © 2018 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 4 November 2018

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • short-paper
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate174of867submissions,20%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader