7 papers
Reinforcement Learning in the Real World: A Survey of Statistical Challenges and Future Directions
Asim H. Gazi, Yongyi Guo, Daiqi Gao +3
Reinforcement learning (RL) has achieved remarkable success in real-world decision-making across diverse domains, including gaming, robotics, online advertising, public health, and…
OpenMHC: Accelerating the Science of Wearable Foundation Models
Narayan Schuetz, Yuze Bai, Lianggang Pan +16
Mobile and wearable devices offer an unprecedented opportunity for continuous, passive health monitoring and active health coaching. However, the largest wearable datasets are not…
Tabular Foundation Models Can Do Survival Analysis
Da In Kim, Wei Siang Lai, Kelly W. Zhang
While tabular foundation models have achieved remarkable success in classification and regression, adapting them to model time-to-event outcomes for survival analysis is non-trivia…
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…
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…