Ontology highlight
ABSTRACT: Background
Digital health interventions (DHIs) are widely used to manage users' health in everyday life through digital devices. The use of DHIs generates various data, such as records of intervention use and the status of target symptoms, providing researchers with data-driven insights for improving these interventions even after deployment. Although DHI researchers have investigated these data, existing analysis practices have been fragmented, limiting a comprehensive understanding of the data.Objective
We proposed an analysis task model to help DHI researchers analyze observational data from a holistic perspective. This model was then used to prototype an interactive visual analytics tool. We aimed to evaluate the suitability of the model for DHI data analysis and explor
SUBMITTER: Jung G
PROVIDER: S-EPMC12268220 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature