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

• Main Authors: Kamran Farooq (Author), Melody Lim (Author), Lawrence Dennison-Hall (Author), Finn Janson (Author), Aspen Hazel Olszewska (Author), Muhammad Mamduh Ahmad Zabidi (Author), Anna Haratym-Rojek (Author), Karol Narowski (Author), Barry Clinch (Author), Marco Prunotto (Author), Devika Chawla (Author), Victoria Hunter (Author), Vincent Ukachukwu (Author)
• Format: Book
• Published: JMIR Publications, 2024-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundMachine 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 patients who are infected. ObjectiveThis study aims to evaluate the ability of machine-learning algorithms to...