Event Title
Analyzing the Trend and Forecasting of Covid-19 Outbreak Using Machine Learning Technique
Start Date
15-4-2021 2:00 PM
End Date
15-4-2021 2:15 PM
Student's Major
Computer Information Science
Student's College
Science, Engineering and Technology
Mentor's Name
Suboh Alkhushayni
Mentor's Department
Computer Information Science
Description
This global pandemic has impacted the world and most particularly the healthcare system in an unprecedented way. Relying on old prevention methods is not an option. This project can revolutionize how prevention is made for the covid-19 by making accurate predictions. Its main goal is analyzing large set of data and through computerized ways making accurate predictions that will help advancing into mitigating the impact of the pandemic. Through Machine learning technique, intelligent systems will be able to identify the patterns in the evolution of the virus and help keep track of the numbers of active cases, deaths, and recoveries. It is not only limited to the US or states in this country but it will be able to analyze worldwide data and give real time accuracy in information and prediction by calculating such numbers as the mortality and recovery rates. This will help make predictions for a period of as long as 90 days and through patterns determines common factors that can make certain individuals more susceptible than others (Alimadadi et al.,2020). This can revolutionize the healthcare system in the providing a more efficient and preventative treatment.
Analyzing the Trend and Forecasting of Covid-19 Outbreak Using Machine Learning Technique
This global pandemic has impacted the world and most particularly the healthcare system in an unprecedented way. Relying on old prevention methods is not an option. This project can revolutionize how prevention is made for the covid-19 by making accurate predictions. Its main goal is analyzing large set of data and through computerized ways making accurate predictions that will help advancing into mitigating the impact of the pandemic. Through Machine learning technique, intelligent systems will be able to identify the patterns in the evolution of the virus and help keep track of the numbers of active cases, deaths, and recoveries. It is not only limited to the US or states in this country but it will be able to analyze worldwide data and give real time accuracy in information and prediction by calculating such numbers as the mortality and recovery rates. This will help make predictions for a period of as long as 90 days and through patterns determines common factors that can make certain individuals more susceptible than others (Alimadadi et al.,2020). This can revolutionize the healthcare system in the providing a more efficient and preventative treatment.
