Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices

Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices

Abstract Previous studies have associated COVID-19 symptoms severity with levels of physical activity. We therefore investigated longitudinal trajectories of COVID-19 symptoms in a cohort of healthcare workers (HCWs) with non-hospitalised COVID-19 and their real-world physical activity. 121 HCWs wit...

Full description

Bibliographic Details
Main Authors: Varsha Gupta, Sokratis Kariotis, Mohammed D. Rajab, Niamh Errington, Elham Alhathli, Emmanuel Jammeh, Martin Brook, Naomi Meardon, Paul Collini, Joby Cole, Jim M. Wild, Steven Hershman, Ali Javed, A. A. Roger Thompson, Thushan de Silva, Euan A. Ashley, Dennis Wang, Allan Lawrie
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-023-00974-w

Internet

https://doi.org/10.1038/s41746-023-00974-w

Similar Items