1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
Xiaoyang Ruan, Liwei Wang, Charat Thongprayoon +2
Accurate prediction models for individual-level endpoints and time-to-endpoints are crucial in clinical practice. In this study, we propose a novel approach, GRU-D-Weibull, which c…
stat.AP2021★ 1 cited
A Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations
Curtis B. Storlie, Ricardo L. Rojas, Gabriel O. Demuth +18
Most COVID-19 predictive modeling efforts use statistical or mathematical models to predict national- and state-level COVID-19 cases or deaths in the future. These approaches assum…