Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants.

ABSTRACT: Many studies have utilized physical activity for predicting mortality risk, using measures such as participant walk tests and self-reported walking pace. The rise of passive monitors to measure participant activity without requiring specific actions opens the possibility for population level analysis. We have developed novel technology for this predictive health monitoring, using limited sensor inputs. In previous studies, we validated these models in clinical experiments with carried smartphones, using only their embedded accelerometers as motion sensors. Using smartphones as passive monitors for population measurement is critically important for health equity, since they are already ubiquitous in high-income countries and increasingly common in low-income countries. Our current study sim

SUBMITTER: Zhou H 

PROVIDER: S-EPMC9931283 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature