Detecting Syphilis Amount in China Based on Baidu Query Data
Geng Peng, Jiyuan Wang
Available Online May 2014.
- https://doi.org/10.2991/scict-14.2014.43How to use a DOI?
- search data; search index; syphilis; prediction; key words recommondation
- 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.
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 -