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    ARTICLE

    Deep Stacked Ensemble Learning Model for COVID-19 Classification

    G. Madhu1, B. Lalith Bharadwaj1, Rohit Boddeda2, Sai Vardhan1, K. Sandeep Kautish3, Khalid Alnowibet4, Adel F. Alrasheedi4, Ali Wagdy Mohamed5,6,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5467-5469, 2022, DOI:10.32604/cmc.2022.020455 - 11 October 2021

    Abstract COVID-19 is a growing problem worldwide with a high mortality rate. As a result, the World Health Organization (WHO) declared it a pandemic. In order to limit the spread of the disease, a fast and accurate diagnosis is required. A reverse transcript polymerase chain reaction (RT-PCR) test is often used to detect the disease. However, since this test is time-consuming, a chest computed tomography (CT) or plain chest X-ray (CXR) is sometimes indicated. The value of automated diagnosis is that it saves time and money by minimizing human effort. Three significant contributions are made by… More >

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