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Found 3 papers, 2 papers with code
DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions
Objective digital data is scarce yet needed in many domains to enable research that can transform the standard of healthcare.
Feature Selection for Multivariate Time Series via Network Pruning
In recent years, there has been an ever increasing amount of multivariate time series (MTS) data in various domains, typically generated by a large family of sensors such as wearable devices.
Understanding Reflection Needs for Personal Health Data in Diabetes
To empower users of wearable medical devices, it is important to enable methods that facilitate reflection on previous care to improve future outcomes.
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