Kie Shidara

Abstract Frailty is an important factor in human aging associated with a broad range of adverse outcomes. Frailty metrics are time intensive to collect making them difficult for larger scale application. We apply machine learning to predict these frailty metrics, associated risk factors, and adverse outcomes from activity data. We use activity data collected using Actigraphy wearable accelerometer sensors, which are devices that measure acceleration along three axes of movement.

The National Day of Action is set for May 31, 2025, as a call to action in communities across the United States. The goal is to unite people locally and nationally to eliminate profit-based healthcare. This nonviolent campaign is a collective effort that aims to put on the national agenda. Everyone has a basic human right to healthcare. This opinion piece shares research findings to advocate for a single-payer healthcare system.