Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology

Detecting Syphilis Amount in China Based on Baidu Query Data

Authors
Geng Peng, Jiyuan Wang
Corresponding Author
Geng Peng
Available Online May 2014.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

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  - https://doi.org/10.2991/scict-14.2014.43
ID  - Peng2014/05
ER  -