Browsing Health (Faculty of) by Subject "Machine learning"
Now showing items 1-3 of 3
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Detecting subject-specific fatigue related changes in lifting kinematics using a machine learning approach
(University of Waterloo, 2021-01-07)Background. Functional capacity evaluations (FCEs) are used to determine a worker’s capacity for return to work (RTW) or for job matching purposes. FCEs are completed using a subjective approach, where a trained evaluator ... -
Phenotyping Risk Profiles of Substance Use and Exploring the Dynamic Transitions in Use Patterns: Machine Learning Models using the COMPASS Data
(University of Waterloo, 2021-10-01)Background Polysubstance use is on the rise among Canadian youth. Examining risk profiles and understanding how the transition occurs in use patterns can inform the design and implementation of polysubstance risk reduction ... -
Prediction of Oxygen Uptake and its Dynamics by Wearable Sensors During Activities of Daily Living
(University of Waterloo, 2016-12-21)The evaluation of the aerobic response to a new energetic demand provides valuable information regarding the functional capabilities of the aerobic system. Abnormal, or impaired aerobic responses may occur before the ...