Canelle Poirier

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Machine Learning

Clinical Decision Support

Respiratory Syndrome Coronavirus

Ankylosing Spondylitis

Top Venues

JMIR public health and surveillance

Science advances

Journal of medical Internet research

Journal of sports sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Canelle Poirier, Guillaume Bouzillé, Valérie Bertaud, Marc Cuggia, Mauricio Santillana, Audrey Lavenu
Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study. JMIR public health and surveillance 9 (2023)
Canelle Poirier, Guillaume Bouzillé, Valérie Bertaud, Marc Cuggia, Mauricio Santillana, Audrey Lavenu
Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study. JMIR public health and surveillance 9 (2023)
Maxime Chauvineau, Florane Pasquier, Canelle Poirier, Sébastien Le Garrec, François Duforez, Gaël Guilhem, Mathieu Nédélec
Higher training loads affect sleep in endurance runners: Can a high-heat-capacity mattress topper mitigate negative effects? Journal of sports sciences (2023)
Lucas M Stolerman, Leonardo Clemente, Canelle Poirier, Kris Varun Parag, Atreyee Majumder, Serge Masyn, Bernd Resch, Mauricio Santillana
Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States. Science advances 9 (3) (2023)
Canelle Poirier, Guillaume Bouzillé, Valérie Bertaud, Marc Cuggia, Mauricio Santillana, Audrey Lavenu
Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study. JMIR public health and surveillance 9 (2023)
Lucas M Stolerman, Leonardo Clemente, Canelle Poirier, Kris Varun Parag, Atreyee Majumder, Serge Masyn, Bernd Resch, Mauricio Santillana
Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States. Science advances 9 (3) (2023)
Lucas M Stolerman, Leonardo Clemente, Canelle Poirier, Kris Varun Parag, Atreyee Majumder, Serge Masyn, Bernd Resch, Mauricio Santillana
Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States. Science advances 9 (3) (2023)
Canelle Poirier, Guillaume Bouzillé, Valérie Bertaud, Marc Cuggia, Mauricio Santillana, Audrey Lavenu
Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study. JMIR public health and surveillance 9 (2023)
Canelle Poirier, Guillaume Bouzillé, Valérie Bertaud, Marc Cuggia, Mauricio Santillana, Audrey Lavenu
Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study. JMIR public health and surveillance 9 (2023)
Canelle Poirier, Yulin Hswen, Guillaume Bouzillé, Marc Cuggia, Audrey Lavenu, John S Brownstein, Thomas Brewer, Mauricio Santillana
Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach. PloS one 16 (5) (2021)
Tigist F Menkir, Horace Cox, Canelle Poirier, Melanie Saul, Sharon Jones-Weekes, Collette Clementson, Pablo De Salazar, Mauricio Santillana, Caroline O Buckee
A nowcasting framework for correcting for reporting delays in malaria surveillance. PLoS computational biology 17 (11) (2021)
Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T Davis, Alessandro Vespignani, Mauricio Santillana
Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models. Journal of medical Internet research 22 (9) (2020)
Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T Davis, Alessandro Vespignani, Mauricio Santillana
Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models. Journal of medical Internet research 22 (8) (2020)
Canelle Poirier, Audrey Lavenu, Valérie Bertaud, Boris Campillo-Gimenez, Emmanuel Chazard, Marc Cuggia, Guillaume Bouzillé
Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study. JMIR public health and surveillance 4 (4) (2018)