Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variables.

ABSTRACT:

Background

Chronic tinnitus is a complex condition that can be associated with considerable distress. Whilst cognitive-behavioral treatment (CBT) approaches have been shown to be effective, not all patients benefit from psychological or psychologically anchored multimodal therapies. Determinants of tinnitus-related distress thus provide valuable information about tinnitus characterization and therapy planning.

Objective

The study aimed to develop machine learning models that use variables (or "features") obtained before treatment to characterize patients' tinnitus-related distress status after treatment. Whilst initially all available variables were considered for model training, the final model was required to achieve highest predictive performance using only a small number

SUBMITTER: Niemann U 

PROVIDER: S-EPMC6991951 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature