Machine Learning to evaluate glycemic variation with exercise

Lead Investigator: Lisa Chow, University of Minnesota
Title of Proposal Research: Machine Learning to evaluate glycemic variation with exercise
Vivli Data Request: 8864
Funding Source: None
Potential Conflicts of Interest: None

Summary of the Proposed Research:

This is part of the Helmsley trust request for applications on improving exercise outcomes with Type 1 diabetes – they stated that we could access some of this data to provide preliminary data to support the letter of intent as well as the final proposal.

https://helmsleytrust.org/request_for_proposal/improving-exercise-with-type-1-diabetes-moving-data-towards-solutions/

Requested Studies:

Type 1 Diabetes EXercise Initiative: The Effect of Exercise on Glycemic Control in Type 1 Diabetes Study
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXI
Sponsor ID: T1-DEXI

Type 1 Diabetes EXercise Initiative Pediatric Study (T1DexiP): The Effect of Exercise on Glycemic Control in Youth with Type 1 Diabetes
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXIP
Sponsor ID: T1-DEXIP