High Accuracy COVID-19 Prediction Using Optimized Union Ensemble Feature Selection Approach
Author:
Affiliation:
1. Department of Computer Engineering, Myongji University, Yongin, South Korea
Funder
e National Research Foundation of Korea (NRF) grant funded by the government
※ MSIT: Ministry of Science and ICT
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10586989.pdf?arnumber=10586989
Reference51 articles.
1. World Health Organization Declared a Pandemic Public Health Menace: A Systematic Review of the Coronavirus Disease 2019 “COVID-19”
2. COVID‐19 diagnosis and management: a comprehensive review
3. Ten scientific reasons in support of airborne transmission of SARS-CoV-2
4. Rapid and accurate identification of COVID-19 infection through machine learning based on clinically available blood test results;Wu;medRxiv,2020
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