By integrating high-performance epidemiological simulation with large-scale machine learning, we have developed a generalizable, flexible, and performant ...
A population data-driven workflow for COVID-19 modeling and learning
journals.sagepub.com › doi › abs
Sep 10, 2021 · CityCOVID is a detailed agent-based model that represents the behaviors and social interactions of 2.7 million residents of Chicago
Sep 10, 2021 · CityCOVID is a detailed agent-based model that represents the behaviors and social interactions of 2.7 million residents of Chicago as they ...
A population data-driven workflow for COVID-19 modeling and learning · The International Journal of High Performance Computing Applications, September 2021.
Sep 10, 2021 · CityCOVID is a detailed agent-based model that represents the behaviors and social interactions of 2.7 million residents of Chicago as they ...
Time to solution for machine learning phases by node count. A population data-driven workflow for COVID-19 modeling and learning.
This paper presents a proposed approach that involves identifying the relative impact of COVID‐19 on a specific gender, the mortality rate in specific age, ...
In the study, models including LASSO, Ada-Boost, Light Gradient Boosting, KNN, RNN, and LSTM are also used to forecast the spread of this contagious disease.
In this paper, we describe a COVID-19 model, called Covasim (COVID-19 Agent-based Simulator), that we developed to help answer these questions.
Nov 30, 2021 · In this paper, a COVID-19 vaccination model with efficacy rate is developed and analyzed. The epidemiological parameters of the model are learned via a feed- ...