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

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).

Training and validating a treatment recommender with partial verification evidence.

Background: Current clinical decision support systems (DSS) are trained and validated on observational data from the clinic in which the DSS is going to be applied. This is problematic for treatments that have already been validated in a randomized clinical trial (RCT), but have not yet been introduced in any clinic. In this work, we report on a method for training and validating the DSS core before introduction to a clinic, using the RCT data themselves.

Predictors of Tinnitus Symptom Relief With Hearing Aids in a European Multicenter Study.

Objectives: Hearing aids (HAs) are a widely accepted first-line treatment option for individuals suffering from both hearing loss and chronic tinnitus. Though HAs are highly effective at improving speech understanding, their effectiveness in ameliorating tinnitus symptoms is less clear. In recent years, several investigators have reported on attempts to predict HAs effectiveness on tinnitus symptoms using an array of variables.

Four weeks standard vs. one week accelerated intermittent Theta Burst Stimulation for the treatment of depression - A retrospective analysis.

Introduction: Intermittent Theta Burst Stimulation (iTBS), a specific form of repetitive transcranial magnetic stimulation (rTMS) is increasingly used for treating affective disorders. Accelerated iTBS protocols (aiTBS) with shorter treatment duration may lead to equal but faster response rates compared to standard protocols.

Methods: Here, we retrospectively analyzed the records of 66 rTMS in- and out-patients with major depressive disorder in a tertiary care hospital between April 2023 and September 2023.

Process mining in mHealth data analysis.

This perspective article explores how process mining can extract clinical insights from mobile health data and complement data-driven techniques like machine learning. Despite technological advances, challenges such as selection bias and the complex dynamics of health data require advanced approaches. Process mining focuses on analyzing temporal process patterns and provides complementary insights into health condition variability.