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A Framework for Generating Explanations from Temporal Personal Health Data
Whereas it has become easier for individuals to track their personal health data (e. g., heart rate, step count, food log), there is still a wide chasm between the collection of data and the generation of meaningful explanations to help users better understand what their data means to them.
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