Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
Matthew Willetts, Sven Hollowell, Louis J. M. Aslett, Chris Holmes, Aiden Doherty
The paper develops a machine learning model to classify physical activity and sleep behaviors from sensor data in UK Biobank participants, achieving 87% accuracy.
Scientific Reports · May 15, 2018Peer-reviewedBioinformatics