Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6891203 | Computer Methods and Programs in Biomedicine | 2018 | 20 Pages |
Abstract
Conclusions: Hospital big data seem to have a great potential for monitoring influenza epidemics in near real-time. Such a method could constitute a complementary tool to standard surveillance systems by providing additional characteristics on the concerned population or by providing information earlier. This system could also be easily extended to other diseases with possible activity changes. Additional work is needed to assess the real efficacy of predictive models based on hospital big data to predict flu epidemics.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Guillaume Bouzillé, Canelle Poirier, Boris Campillo-Gimenez, Marie-Laure Aubert, Mélanie Chabot, Emmanuel Chazard, Audrey Lavenu, Marc Cuggia,