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

, , , , , , and . CBMS, page 112-117. IEEE Computer Society, (2018)

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Predicting the presence of tinnitus using ecological momentary assessments, , , , , , , , and . Scientific Reports, 13 (1): 8989 (2023)Patient Empowerment Through Summarization of Discussion Threads on Treatments in a Patient Self-help Forum, , , , , , , , , and 1 other author(s). page 229-233. Springer Singapore, (2018)Best Paper Award (2. Position) at the Int. Conf. on Biomedical and Health Informatics (ICBHI 2017).Are Non-Experts Able to Comprehend Business Process Models--Study Insights Involving Novices and Experts, , , , , , and . arXiv preprint arXiv:2107.02030, (2021)Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users., , , , and . DSAA, page 1-10. IEEE, (2022)Free Technical Solutions for Ecological Momentary Assessments - Searching GitHub plus Google., , , , , , , and . CSCI, page 1778-1781. IEEE, (2022)Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App., , , , , and . CBMS, page 354-359. IEEE, (2021)Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data*., , , , and . EMBC, page 816-819. IEEE, (2021)Single versus Combination Treatment in Tinnitus: A Randomized, Multicenter Trial, , , , , , , , , and 40 other author(s). medRxiv, (2024)Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity., , , , , , , and . Int. J. Data Sci. Anal., 9 (1): 1-15 (2020)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)