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    ARTICLE

    Prediction Models for COVID-19 Integrating Age Groups, Gender, and Underlying Conditions

    Imran Ashraf1, Waleed S. Alnumay2, Rashid Ali3, Soojung Hur1, Ali Kashif Bashir4, Yousaf Bin Zikria1,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3009-3044, 2021, DOI:10.32604/cmc.2021.015140

    Abstract The COVID-19 pandemic has caused hundreds of thousands of deaths, millions of infections worldwide, and the loss of trillions of dollars for many large economies. It poses a grave threat to the human population with an excessive number of patients constituting an unprecedented challenge with which health systems have to cope. Researchers from many domains have devised diverse approaches for the timely diagnosis of COVID-19 to facilitate medical responses. In the same vein, a wide variety of research studies have investigated underlying medical conditions for indicators suggesting the severity and mortality of, and role of age groups and gender on,… More >

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