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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

    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 our research. Its initial purpose… More >

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