7 papers
Reproducible workflow for online AI in digital health
Susobhan Ghosh, Bhanu T. Gullapalli, Daiqi Gao +5
Online artificial intelligence (AI) algorithms are an important component of digital health interventions. These online algorithms are designed to continually learn and improve the…
Replicable Bandits for Digital Health Interventions
Kelly W. Zhang, Nowell Closser, Anna L. Trella +1
Adaptive treatment assignment algorithms, such as bandit algorithms, are increasingly used in digital health intervention clinical trials. Frequently, the data collected from these…
Non-Stationary Latent Auto-Regressive Bandits
Anna L. Trella, Walter Dempsey, Asim H. Gazi +3
For the non-stationary multi-armed bandit (MAB) problem, many existing methods allow a general mechanism for the non-stationarity, but rely on a budget for the non-stationarity tha…
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
Anna L. Trella, Kelly W. Zhang, Hinal Jajal +4
Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic diseases. Despite widespread recomm…
Oralytics Reinforcement Learning Algorithm
Anna L. Trella, Kelly W. Zhang, Stephanie M. Carpenter +6
Dental disease is still one of the most common chronic diseases in the United States. While dental disease is preventable through healthy oral self-care behaviors (OSCB), this basi…
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation
Anna L. Trella, Susobhan Ghosh, Erin E. Bonar +10
Online AI decision-making algorithms are increasingly used by digital interventions to dynamically personalize treatment to individuals. These algorithms determine, in real-time, t…