3 papers
cs.LG2024
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder
Seungyeon Lee, Ruoqi Liu, Wenyu Song +1
Deep learning models have demonstrated promising results in estimating treatment effects (TEE). However, most of them overlook the variations in treatment outcomes among subgroups…
cs.LG2024
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
Seungyeon Lee, Ruoqi Liu, Wenyu Song +2
Precise estimation of treatment effects is crucial for evaluating intervention effectiveness. While deep learning models have exhibited promising performance in learning counterfac…
cs.LG2023
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
Seungyeon Lee, Thai-Hoang Pham, Zhao Cheng +1
Sleep staging has become a critical task in diagnosing and treating sleep disorders to prevent sleep related diseases. With growing large scale sleep databases, significant progres…