417 citations · 452 across the 15 of their papers we have counts for
15 papers
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…
Estimating and Assessing Differential Equation Models with Time-Course Data
Samuel W. K. Wong, Shihao Yang, S. C. Kou
Ordinary differential equation (ODE) models are widely used to describe chemical or biological processes. This article considers the estimation and assessment of such models on the…
MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-constrained Gaussian Processes
Samuel W. K. Wong, Shihao Yang, S. C. Kou
This article presents the MAGI software package for the inference of dynamic systems. The focus of MAGI is on dynamics modeled by nonlinear ordinary differential equations with unk…
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…
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction
Siawpeng Er, Shihao Yang, Tuo Zhao
The global spread of COVID-19, the disease caused by the novel coronavirus SARS-CoV-2, has cast a significant threat to mankind. As the COVID-19 situation continues to evolve, pred…
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…
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data
Shixiang Zhu, Alexander Bukharin, Liyan Xie +4
Recently, the Centers for Disease Control and Prevention (CDC) has worked with other federal agencies to identify counties with increasing coronavirus disease 2019 (COVID-19) incid…
Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems
Yan Sun, Shihao Yang
Identification of parameters in ordinary differential equations (ODEs) is an important and challenging task when modeling dynamic systems in biomedical research and other scientifi…
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…
Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes
Shihao Yang, Samuel W. K. Wong, S. C. Kou
Parameter estimation for nonlinear dynamic system models, represented by ordinary differential equations (ODEs), using noisy and sparse data is a vital task in many fields. We prop…
High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S
Shixiang Zhu, Alexander Bukharin, Liyan Xie +3
We present an interpretable high-resolution spatio-temporal model to estimate COVID-19 deaths together with confirmed cases one-week ahead of the current time, at the county-level…
Use Internet Search Data to Accurately Track State-Level Influenza Epidemics
Shihao Yang, Shaoyang Ning, S. C. Kou
For epidemics control and prevention, timely insights of potential hot spots are invaluable. Alternative to traditional epidemic surveillance, which often lags behind real time by…
Advances in using Internet searches to track dengue
Shihao Yang, S. C. Kou, Fred Lu +3
Dengue is a mosquito-borne disease that threatens more than half of the world's population. Despite being endemic to over 100 countries, government-led efforts and mechanisms to ti…
Accurate estimation of influenza epidemics using Google search data via ARGO
Shihao Yang, Mauricio Santillana, S. C. Kou
Accurate real-time tracking of influenza outbreaks helps public health officials make timely and meaningful decisions that could save lives. We propose an influenza tracking model,…