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Overview of the Sleep Data Automation code, a project developed by the Mobile Technologies Core and the Sleep & Circadian Rhythm Laboratory to automate the process of cleaning sleep data from Fitbit fitness trackers and comparing or joining it to self-reported sleep diary data.
A listing of U-M and MM offices and research cores that provide data-related consultation services, including those with expertise with mobile data and mental health data.
Some of the common causes and solutions for compression lows in CGMs.
Tools for business process automation, robotic process automation (RPA), data integration, and data pipelines (ETL / ELT) at University of Michigan and Michigan Medicine.