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Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus–stress associations based on the TrackYourTinnitus mobile platform

, , , , , , , and . International Journal of Data Science and Analytics, (2018)

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Outpatient Tinnitus Clinic, Self-Help Web Platform, or Mobile Application to Recruit Tinnitus Study Samples?, , , , , , , , , and 1 other author(s). Frontiers in Aging Neuroscience, (2017)Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases, , , , , , , and . Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), page 239-243. (2018)Medical Device Regulation: Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health, , , , , , , and . J, 4 (2): 206-222 (2021)TinnituSense: a Mobile Electroencephalography (EEG) Smartphone App for Tinnitus Research, , , , , , , and . (2021)Reasons for Discontinuing Active Participation on the Internet Forum Tinnitus Talk: Mixed Methods Citizen Science Study, , , , , , , , , and 3 other author(s). JMIR Form Res, 5 (4): e21444 (2021)Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios, , , , , , , , , and 1 other author(s). JoVE (Journal of Visualized Experiments), (2020)Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments, , , , , , and . Frontiers in neuroscience, (2018)Comprehensive insights into the TrackYourTinnitus database., , , , , , , , and . FNC/MobiSPC, volume 175 of Procedia Computer Science, page 28-35. Elsevier, (2020)When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps., , , and . AIME, volume 13263 of Lecture Notes in Computer Science, page 310-320. Springer, (2022)Towards Automated Smart Mobile Crowdsensing for Tinnitus Research., , , , , and . CBMS, page 75-80. IEEE, (2019)