Predictive Analysis of the Recovery Rate from Coronavirus (COVID-19)
1st International Conference on Cyber Intelligence and Information Retrieval, CIIR 2021
; 291:309-320, 2022.
Article
in English
| Scopus | ID: covidwho-1473958
ABSTRACT
Estimation of recovery rate of COVID-19 positive persons is significant to measure the severity of the disease for mankind. In this work, prediction of the recovery rate is estimated based on machine learning technology. Standard data set of Kaggle has been used for experimental purpose, and the data sets of COVID cases in Italy, China and India for these countries are considered. Based on that data set and the present scenario, the proposed technique predicts the recovery rate. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
1st International Conference on Cyber Intelligence and Information Retrieval, CIIR 2021
Year:
2022
Document Type:
Article
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