Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data.

ABSTRACT: Intensive longitudinal sampling enhances subjective data collection by capturing real-time, dynamic inputs in natural settings, complementing traditional methods. This study evaluates the feasibility of using daily self-reported app data to assess clinical improvement among tinnitus patients undergoing treatment. App data from a multi-center randomized clinical trial were analysed using time-series feature extraction and nested cross-validated ordinal regression with elastic net regulation to predict clinical improvement based on the Clinical Global Impression-Improvement scale (CGI-I). With 50% app compliance (N = 129, 8480 entries), the model demonstrated good fit to the test data (McFadden R2 = 0.82) suggesting its generalizability. Clinical improvement was associated with linear declin

SUBMITTER: Engelke M 

PROVIDER: S-EPMC11733005 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature