Process mining in mHealth data analysis.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 39443677.
- Also identified by DOI 10.1038/s41746-024-01297-0 and PMC identifier 11499602.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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. The article highlights the potential of process mining for analyzing mHealth data and beyond.