A team from Florida Atlantic University’s (FAU) College of Engineering and Computer Science is leveraging machine learning technology to build a COVID-19 knowledge base and risk assessment dashboard.

The project, conducted in partnership with FAU’s Schmidt College of Medicine, will use machine learning and social networks for COVID-19 modeling and risk evaluation. Researchers received a one-year, $90,000 National Science Foundation (NSF) RAPID project grant to fund this effort.

The RAPID: COVID-19 Coronavirus Testbed and Knowledge Base Construction and Personalized Risk Evaluation project will address the many discrepancies that exist in the context of the pandemic.

“COVID-19 is an evolving epidemic and there is little knowledge about its outbreak and spread patterns, or the impact of viral evolution, demography, social behavior, cultural differences, and quarantine policies regarding these outbreaks,” said Stella Batalama, PhD, dean of FAU’s College of Engineering and Computer Science.

Source: healthitanalytics.com