Assessing cognitive function among older adults using machine learning and wearable device data: a feasibility study

arXiv:2309.07133v2 Announce Type: replace-cross
Abstract: Timely implementation of interventions to slow cognitive decline among older adults requires accurate monitoring to detect changes in cognitive function. Data gathered using wearable devices that can continuously monitor factors known to be associated with cognition could be used to train machine learning models and develop wearable-based cognitive monitoring systems. Using data from over 2,400 older adults in the National Health and Nutrition Examination Survey (NHANES) we developed prediction models to differentiate older adults with …

abstract arxiv cognition cognitive cs.hc cs.lg data device data devices eess.sp function implementation machine machine learning monitoring study type wearable wearable devices