Prediction of Corona Virus Outbreak using Machine Learning
2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021
; : 42-47, 2021.
Article
in English
| Scopus | ID: covidwho-1788709
ABSTRACT
Predicting the corona virus can be divided into several phases, including a state-wide analysis that includes active, confirmed, cured, deaths as well as an increase in cases on a daily basis that includes each and every state of India as well as Union Territories. This also includes a thread of new corona virus cases from throughout India and forecasts the outbreak's conclusion in the next days. Machine learning algorithms like SVM, Linear Regression and Decision Tree Regression are used to analyze this data and improve this model's outcome. In this study, Jupyter notebook is used which provides an environment that is suited for machine learning principles. This technique provides for a comprehensive analysis of the virus's spread, including total and active cases, as well as forecasting future outbreaks and a weekly study epidemic. © 2021 IEEE
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS