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

• Autors principals: Pryss, Rüdiger (Autor), Schlee, Winfried (Autor), Hoppenstedt, Burkhard (Autor), Reichert, Manfred (Autor), Spiliopoulou, Myra (Autor), Langguth, Berthold (Autor), Breitmayer, Marius (Autor), Probst, Thomas (Autor)
• Format: Llibre
• Publicat: JMIR Publications, 2020-06-01T00:00:00Z.
• Matèries: article
• Accés en línia: 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...