Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics
Description
In this work, we aim to accurately predict the number of hospitalizations during the COVID-19 pandemic by developing a spatiotemporal prediction model. We propose HOIST, an Ising dynamics-based deep learning model for spatiotemporal COVID-19
