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Med."],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>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\u2014Improvement scale (CGI-I). With 50% app compliance (<jats:italic>N<\/jats:italic>\u2009=\u2009129, 8480 entries), the model demonstrated good fit to the test data (McFadden R2\u2009=\u20090.82) suggesting its generalizability. Clinical improvement was associated with linear declines in tinnitus-related thoughts, jaw tension, tinnitus loudness, increases in happiness, and variability changes in tinnitus loudness and distress. 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