2024
DOI: 10.2196/47879
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Evaluation of Machine Learning to Detect Influenza Using Wearable Sensor Data and Patient-Reported Symptoms: Cohort Study

Kamran Farooq,
Melody Lim,
Lawrence Dennison-Hall
et al.

Abstract: Background: Machine learning offers quantitative pattern recognition analysis of wearable device data and has the potential to detect illness onset and monitor influenza-like illness (ILI) in infected patients.Objective: To evaluate the ability of machine learning algorithms to distinguish between influenza-positive and influenzanegative participants in a cohort of symptomatic ILI patients using wearable sensor (activity) data and self-reported symptom data during the latent and early symptomatic period of ILI… Show more

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