A Framework for Generating Explanations from Temporal Personal Health Data
Jonathan J. Harris,
Ching-Hua Chen,
Mohammed J. Zaki
Abstract: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. With an increased comprehension of their data, users will be able to act upon the newfound information and work towards striving closer to their health goals. We aim to bridge the gap between data collection and explanation … Show more
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