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

Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Infectious Diseases (non-STD/STI) (1575) Machine Learning (1465) Influenza and Influenza-Like-Illness (ILI) Surveillance (217) Wearable Devices and Sensors (888) Surveillance Systems (462)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47879, first published .
Evaluation of Machine Learning to Detect Influenza Using Wearable Sensor Data and Patient-Reported Symptoms: Cohort Study

Evaluation of Machine Learning to Detect Influenza Using Wearable Sensor Data and Patient-Reported Symptoms: Cohort Study

Evaluation of Machine Learning to Detect Influenza Using Wearable Sensor Data and Patient-Reported Symptoms: Cohort Study

Authors of this article:

Kamran Farooq1 Author Orcid Image ;   Melody Lim2 Author Orcid Image ;   Lawrence Dennison-Hall3 Author Orcid Image ;   Finn Janson3 Author Orcid Image ;   Aspen Hazel Olszewska4 Author Orcid Image ;   Muhammad Mamduh Ahmad Zabidi5 Author Orcid Image ;   Anna Haratym-Rojek4 Author Orcid Image ;   Karol Narowski6 Author Orcid Image ;   Barry Clinch3 Author Orcid Image ;   Marco Prunotto7, 8 Author Orcid Image ;   Devika Chawla2 Author Orcid Image ;   Victoria Hunter2 Author Orcid Image ;   Vincent Ukachukwu3 Author Orcid Image
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