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Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variables, , , , , and . PLOS ONE, 15 (1): 1-18 (January 2020)Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics, , , , and . Scientific Reports, 10 (1): 4664 (2020)Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison, , , , , and . Scientific Reports, 10 (1): 16411 (2020)Gender-Specific Differences in Patients With Chronic Tinnitus—Baseline Characteristics and Treatment Effects, , , , and . Frontiers in Neuroscience, (2020)Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors, , , , , , , , , and 1 other author(s). Frontiers in Neuroscience, (March 2022)Heterogeneity in response to treatment across tinnitus phenotypes, , , , and . (2024)Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction, , , , , and . Expert Systems with Applications, (April 2024)Training and Validating a Treatment Recommender with Partial Verification Evidence., , , , , , , , , and 4 other author(s). CoRR, (2024)Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI, , , , , , , , , and 70 other author(s). 260, page 441-451. Elsevier, (2021)Dimensions of Tinnitus-Related Distress, , , , , , , , and . Brain Sciences, (2022)