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Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments.

, , , , , , и . CBMS, стр. 112-117. IEEE Computer Society, (2018)

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Gerhard Schöbel

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Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform., , , , и . MOBILESoft@ICSE, стр. 65-68. IEEE, (2021)Concept and Requirements for an Educational Serious Game Teaching Pandemic Management., , , , , и . CBMS, стр. 153-156. IEEE, (2023)The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT), , , , , , , , , и 31 other автор(ы). Trials, 24 (1): 472 (2023)Smartphone-Guided Educational Counseling and Self-Help for Chronic Tinnitus, , , , , , , , , и 1 other автор(ы). Journal of Clinical Medicine, 11 (7): 1825 (2022)The Effect of Non-Personalised Tips on the Continued Use of Self-Monitoring mHealth Applications, , , , , , , , и . Brain Sciences, 10 (12): 924 (2020)Does Tinnitus Depend on Time-of-Day? An Ecological Momentary Assessment Study with the ``TrackYourTinnitus'' Application, , , , , , , , и . Frontiers in Aging Neuroscience, (2017)Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform., , , , , , , , , и 4 other автор(ы). EMBC, стр. 3951-3955. IEEE, (2019)Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic, , , , , , , , , и 22 other автор(ы). International Journal of Environmental Research and Public Health, 18 (14): 7395 (2021)User-centric vs whole-stream learning for EMA prediction., , , , , , , и . CBMS, стр. 307-312. IEEE, (2021)Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?, , , , , , , , , и . DS, том 12323 из Lecture Notes in Computer Science, стр. 659-673. Springer, (2020)