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

Surveillance Systems (468) Machine Learning (1505) Infodemiology and Infoveillance (1369) Innovative Methods in Public Health and Surveillance (337) Artificial Intelligence (1430) Behavioural Surveillance for Public Health (235) Information Seeking, Information Needs (483) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34982, first published .
Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study

Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study

Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study

Authors of this article:

Canelle Poirier1, 2, 3, 4, 5 Author Orcid Image ;   Guillaume Bouzillé3, 4, 5 Author Orcid Image ;   Valérie Bertaud3, 4, 5 Author Orcid Image ;   Marc Cuggia3, 4, 5 Author Orcid Image ;   Mauricio Santillana1, 2, 6, 7 Author Orcid Image ;   Audrey Lavenu8, 9, 10 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Canelle Poirier   1, 2, 3, 4, 5 , PhD ;   Guillaume Bouzillé   3, 4, 5 , MD, PhD ;   Valérie Bertaud   3, 4, 5 , MD, PhD ;   Marc Cuggia   3, 4, 5 , MD, PhD ;   Mauricio Santillana   1, 2, 6, 7 * , MSc, PhD ;   Audrey Lavenu   8, 9, 10 * , MD, PhD

1 Department of Pediatrics, Harvard Medical School, Boston, MA, United States

2 Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States

3 Institut national de la santé et de la recherche médicale U1099, Rennes, France

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

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

6 Harvard Tseng-Hsi Chan School of Public Health, Boston, MA, United States

7 Machine Intelligence Group for the Betterment of Health and the Environment, Network Science Institute, Northeastern University, Boston, MA, United States

8 Faculté de médecine, Université de Rennes 1, Rennes, France

9 Institut de Recherche Mathématique de Rennes, Rennes, France

10 Institut national de la santé et de la recherche médicale CIC 1414, Université de Rennes 1, Rennes, France

*these authors contributed equally

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