Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study

• Main Authors: Pryss, Rüdiger (Author), Schlee, Winfried (Author), Hoppenstedt, Burkhard (Author), Reichert, Manfred (Author), Spiliopoulou, Myra (Author), Langguth, Berthold (Author), Breitmayer, Marius (Author), Probst, Thomas (Author)
• Format: Book
• Published: JMIR Publications, 2020-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundTinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient's quality of life. The TrackYourTinnitus (TYT) mobile health (mHealth) crowdsens...