Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison.

ABSTRACT: Chronic tinnitus is a complex, multi-factorial symptom that requires careful assessment and management. Evidence-based therapeutic approaches involve audiological and psychological treatment components. However, not everyone benefits from treatment. The identification and characterisation of patient subgroups (or "phenotypes") may provide clinically relevant information. Due to the large number of assessment tools, data-driven methods appear to be promising. The acceptance of these empirical results can be further strengthened by a comprehensive visualisation. In this study, we used cluster analysis to identify distinct tinnitus phenotypes based on self-report questionnaire data and implemented a visualisation tool to explore phenotype idiosyncrasies. 1228 patients with chronic tinnitus fr

SUBMITTER: Niemann U 

PROVIDER: S-EPMC7532444 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature