3 citations · 4 across the 6 of their papers we have counts for
6 papers
Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records
Junghwan Lee, Simin Ma, Nicoleta Serban +1
Observational data have been actively used to estimate treatment effect, driven by the growing availability of electronic health records (EHRs). However, EHRs typically consist of…
Deep Attention Q-Network for Personalized Treatment Recommendation
Simin Ma, Junghwan Lee, Nicoleta Serban +1
Tailoring treatment for individual patients is crucial yet challenging in order to achieve optimal healthcare outcomes. Recent advances in reinforcement learning offer promising pe…
COVID-19 and Influenza Joint Forecasts Using Internet Search Information in the United States
Simin Ma, Shaoyang Ning, Shihao Yang
As COVID-19 pandemic progresses, severe flu seasons may happen alongside an increase in cases in cases and death of COVID-19, causing severe burdens on health care resources and pu…
COVID-19 Hospitalizations Forecasts Using Internet Search Data
Tao Wang, Simin Ma, Soobin Baek +1
As the COVID-19 spread over the globe and new variants of COVID-19 keep occurring, reliable real-time forecasts of COVID-19 hospitalizations are critical for public health decision…
COVID-19 Forecasts Using Internet Search Information in the United States
Simin Ma, Shihao Yang
As the COVID-19 ravaging through the globe, accurate forecasts of the disease spread is crucial for situational awareness, resource allocation, and public health decision-making. A…
MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics
Chaofan Huang, Simin Ma, Shihao Yang
Ordinary differential equations (ODEs), commonly used to characterize the dynamic systems, are difficult to propose in closed-form for many complicated scientific applications, eve…