Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment.

Maureen Schmitter-Edgecombe Catherine Luna Shenghai Dai Diane J Cook

Published in: The Clinical neuropsychologist (2024)

Results from ML and MLM were complimentary and comparable, suggesting that machine learning may be used to develop generalized models to predict everyday cognition and track lifestyle behaviors and contextual factors that impact health outcomes using smart home sensor data.

Keyphrases

physical activity
machine learning
big data
electronic health record
metabolic syndrome
healthcare
cardiovascular disease
mild cognitive impairment
weight loss
white matter
type diabetes
multiple sclerosis
data analysis