Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics.

ABSTRACT: Tinnitus is a complex condition that is associated with major psychological and economic impairments - partly through various comorbidities such as depression. Understanding the interaction between tinnitus and depression may thus improve either symptom cluster's prevention, diagnosis and treatment. In this study, we developed and validated a machine learning model to predict depression severity after outpatient therapy (T1) based on variables obtained before therapy (T0). 1,490 patients with chronic tinnitus (comorbid major depressive disorder: 52.2%) who completed a 7-day multimodal treatment encompassing tinnitus-specific components, cognitive behavioural therapy, physiotherapy and informational counselling were included. 185 variables were extracted from self-report questionnaires and

SUBMITTER: Niemann U 

PROVIDER: S-EPMC7069984 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature