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Process mining in mHealth data analysis
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DOI：10.1038/s41746-024-01297-0.png)
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Abstract
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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.
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ECOLOGICAL MOMENTARY ASSESSMENT
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