Location
https://ccse.kennesaw.edu/computing-showcase/cday-programs/spring2021program.php
Event Website
https://sites.google.com/view/ml-and-covid-19/home
Document Type
Event
Start Date
26-4-2021 5:00 PM
Description
With the COVID-19 pandemic still a threat, healthcare professionals and medical industries keep searching for better ways to mitigate the spread of COVID-19. While Machine Learning has been applied in many other domains, there is now a high demand for diagnosis systems that utilize Machine Learning techniques in the healthcare domain and in particular combating COVID-19. In this project, we explore the role of Machine Learning models in combating COVID-19, using WEKA as the main tool for analysis.Advisors(s): Dr. Ming Yang - IT 4983 Capstone Professor Dr. Seyedamin Pouriyeh - Project OwnerTopic(s): Data/Data AnalyticsIT 4983
Included in
UC-36 Using Machine Learning Techniques to Predict RT-PCR Results for COVID-19 Patients.
https://ccse.kennesaw.edu/computing-showcase/cday-programs/spring2021program.php
With the COVID-19 pandemic still a threat, healthcare professionals and medical industries keep searching for better ways to mitigate the spread of COVID-19. While Machine Learning has been applied in many other domains, there is now a high demand for diagnosis systems that utilize Machine Learning techniques in the healthcare domain and in particular combating COVID-19. In this project, we explore the role of Machine Learning models in combating COVID-19, using WEKA as the main tool for analysis.Advisors(s): Dr. Ming Yang - IT 4983 Capstone Professor Dr. Seyedamin Pouriyeh - Project OwnerTopic(s): Data/Data AnalyticsIT 4983
https://digitalcommons.kennesaw.edu/cday/spring/undergraduatecapstone/13