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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)Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison, , , , , and . Scientific Reports, 10 (1): 16411 (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)Single versus Combination Treatment in Tinnitus: A Randomized, Multicenter Trial, , , , , , , , , and 40 other author(s). medRxiv, (2024)Gender-Specific Differences in Patients With Chronic Tinnitus—Baseline Characteristics and Treatment Effects, , , , and . Frontiers in Neuroscience, (2020)Training and validating a treatment recommender with partial verification evidence, , , , , , , , , and 4 other author(s). Artificial Intelligence in Medicine, (2024)Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors, , , , , , , , , and 1 other author(s). Frontiers in Neuroscience, (March 2022)Training and validating a treatment recommender with partial verification evidence., , , , , , , , , and 4 other author(s). Artif. Intell. Medicine, (2025)Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction, , , , , and . Expert Systems with Applications, (April 2024)Heterogeneity in response to treatment across tinnitus phenotypes, , , , and . (2024)