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Clinical and Cost-Effectiveness of PSYCHOnlineTHERAPY: Study Protocol of a Multicenter Blended Outpatient Psychotherapy Cluster Randomized Controlled Trial for Patients With Depressive and Anxiety Disorders, , , , , , , , , and 9 other author(s). Frontiers in Psychiatry, (2021)Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users, , , , , , , , and . Entropy, 23 (12): 1695 (2021)Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform., , , , , , , , , and 2 other author(s). IRI, page 350-355. IEEE, (2019)Design and Implementation of a Scalable Crowdsensing Platform for Geospatial Data of Tinnitus Patients., , , , , , , , , and . CBMS, page 294-299. IEEE, (2019)Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain, , , , , , , , and . Frontiers in Neuroscience, (2020)Towards the Interpretation of Sound Measurements from Smartphones Collected with Mobile Crowdsensing in the Healthcare Domain: An Experiment with Android Devices., , and . Sensors, 22 (1): 170 (2022)Dealing With Inaccurate Sensor Data in the Context of Mobile Crowdsensing and mHealth., , , and . IEEE J. Biomed. Health Informatics, 26 (11): 5439-5449 (2022)Backend Concept of the eSano eHealth Platform for Internet- and Mobile-based Interventions., , , , , , and . WiMob, page 88-93. IEEE, (2022)Comprehensive insights into the TrackYourTinnitus database., , , , , , , , and . FNC/MobiSPC, volume 175 of Procedia Computer Science, page 28-35. Elsevier, (2020)Predicting the presence of tinnitus using ecological momentary assessments, , , , , , , , and . Scientific Reports, 13 (1): 8989 (2023)