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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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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