1 citations · 1 across the 6 of their papers we have counts for
6 papers
Learning When to Intervene on Habitual Behaviors: A Case Study in Oral Health Care
Bhanu Teja Gullapalli, Vivek Shetty, Anna L. Trella +2
A central challenge for digital health interventions aimed at improving habitual behaviors is deciding when to deliver an intervention prompt. For many daily habits, such as tooth…
SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions
Asim H. Gazi, Bhanu Teja Gullapalli, Daiqi Gao +3
Timely decision making is critical to the effectiveness of mobile health (mHealth) interventions. At predefined timepoints called "decision points," intelligent mHealth systems suc…
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…
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…