32 citations · 35 across the 10 of their papers we have counts for
10 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…
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…
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…
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…
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…
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani +4
Online reinforcement learning (RL) algorithms offer great potential for personalizing treatment for participants in clinical trials. However, deploying an online, autonomous algori…
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…
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani +3
Dental disease is one of the most common chronic diseases despite being largely preventable. However, professional advice on optimal oral hygiene practices is often forgotten or ab…
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani +3
Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in d…
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data
Anna L. Trella, Peniel N. Argaw, Michelle M. Li +1
Within epidemiological modeling, the majority of analyses assume a single epidemic process for generating ground-truth data. However, this assumed data generation process can be un…