activity
20212025
most citedDiscrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CY2025

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…

cs.AI2024

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…

cs.CY2024

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…

cs.AI20221 cited

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…

cs.AI20211 cited

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…