This paper is in the following e-collection/theme issue:

Surveillance Systems (462) Infodemiology and Infoveillance (1349) Machine Learning (1465) Infectious Diseases (non-STD/STI) (1575) Influenza and Influenza-Like-Illness (ILI) Surveillance (217) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 4, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11361, first published .
Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study

Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study

Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study

Authors of this article:

Canelle Poirier1, 2 Author Orcid Image ;   Audrey Lavenu3 Author Orcid Image ;   Valérie Bertaud1, 2, 4 Author Orcid Image ;   Boris Campillo-Gimenez2, 5 Author Orcid Image ;   Emmanuel Chazard6, 7 Author Orcid Image ;   Marc Cuggia1, 2, 4 Author Orcid Image ;   Guillaume Bouzillé1, 2, 4 Author Orcid Image
Article Authors Cited by (19) Tweetations (6) Metrics

Canelle Poirier   1, 2 , MSc ;   Audrey Lavenu   3 , PhD ;   Valérie Bertaud   1, 2, 4 , DMD, PhD ;   Boris Campillo-Gimenez   2, 5 , MD, MSc ;   Emmanuel Chazard   6, 7 , MD, PhD ;   Marc Cuggia   1, 2, 4 , MD, PhD ;   Guillaume Bouzillé   1, 2, 4 , MD, MSc

1 Laboratoire Traitement du Signal et de l'Image, Université de Rennes 1, Rennes, France

2 INSERM, U1099, Rennes, France

3 Centre d'Investigation Clinique de Rennes, Université de Rennes 1, Rennes, France

4 Centre Hospitalier Universitaire de Rennes, Centre de Données Cliniques, Rennes, France

5 Comprehensive Cancer Regional Center, Eugene Marquis, Rennes, France

6 Centre d'Etudes et de Recherche en Informatique Médicale EA2694, Université de Lille, Lille, France

7 Public Health Department, Centre Hospitalier Régional Universitaire de Lille, Lille, France

Corresponding Author:

  • Canelle Poirier, MSc
  • Laboratoire Traitement du Signal et de l'Image
  • Université de Rennes 1
  • 2 rue Henri Le Guilloux
  • Rennes, 35033
  • France
  • Phone: 33 667857225
  • Email: canelle.poirier@outlook.fr