Culos, Manas et al. construct machine learning surrogate frailty metrics from activity data collected in a nominally intrusive manner. They show that a limited amount of activity data is necessary to model frailty metrics allowing for an increased proliferation of their application along with a robust source of data for other age-related outcomes.
- Anthony Culos
- Asier Manas
- Nima Aghaeepour
