Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort
BackgroundBetween 2013 and 2015, the UK Biobank collected accelerometer traces from 103,712 volunteers aged between 40 and 69 years using wrist-worn triaxial accelerometers for 1 week. This data set has been used in the past to verify that individuals with chronic diseases ex...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2021-03-01
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Series: | JMIR Diabetes |
Online Access: | https://diabetes.jmir.org/2021/1/e23364 |