Detecting Syphilis Amount in China Based on Baidu Query Data

DOI

10.2991/scict-14.2014.43How to use a DOI?

Keywords

search data; search index; syphilis; prediction; key words recommondation

Abstract

Syphilis has drawn and is drawing more and more attentions globally because of its dangers and spreading speed, especially in China. Thanks to the development of search engine, a quicker and more accurate prediction of syphilis can be conducted. We collect the queries series on Baidu, a company providing search engine service in China. Several analyses are deployed to investigate the relationship between online search behaviors and the actual amount of the disease. Experiments show that accurate and fast predictions can be made using search queries. Finally, we also find that the recommendation of key words can increase the performance.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Geng Peng
AU  - Jiyuan Wang
PY  - 2014/05
DA  - 2014/05
TI  - Detecting Syphilis Amount in China Based on Baidu Query Data
BT  - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology
PB  - Atlantis Press
SP  - 180
EP  - 185
SN  - 1951-6851
UR  - https://doi.org/10.2991/scict-14.2014.43
DO  - 10.2991/scict-14.2014.43
ID  - Peng2014/05
ER  -