Selected article for: "model performance and prediction model performance"
Author: Seo, Dong-Woo; Shin, Soo-Yong
Title: Methods Using Social Media and Search Queries to Predict Infectious Disease Outbreaks
  • Document date: 2017_10_31
    • ID: jx8wulcg_22
    Snippet: The proposed digital surveillance system which uses Internet resources has enormous potential to monitor disease outbreaks in the early phase; however, this approach has some limitations as well. First, in our work, it was difficult to choose keywords although they have a considerable effect on the performance of a prediction model. More importantly, keywords should be changed periodically. For example, before 2015 only experts were aware of MERS.....
    Document: The proposed digital surveillance system which uses Internet resources has enormous potential to monitor disease outbreaks in the early phase; however, this approach has some limitations as well. First, in our work, it was difficult to choose keywords although they have a considerable effect on the performance of a prediction model. More importantly, keywords should be changed periodically. For example, before 2015 only experts were aware of MERS. However, most Koreans know about MERS nowadays. Since people continuously learn new terminology and change the search keywords they use, keywords should be updated regularly to maintain prediction performance [9] . Second, as in the case of Google Flu, this system can fail to predict disease outbreaks correctly [20] . Therefore, the proposed digital surveillance system should be used with caution or as a complementary method.

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