Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning-Based Cross-sectional Study of the UK Biobank Accelerometer Cohort (2021)
Attributed to:
UK Biobank (core renewal)
funded by
MRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.2196/23364
PubMed Identifier: 33739298
Publication URI: http://europepmc.org/abstract/MED/33739298
Type: Journal Article/Review
Parent Publication: JMIR Diabetes
Issue: 1
ISSN: 2371-4379