Özet:

First, the new type of coronavirus (Covid-19), which was seen in December 2019 in China’s state of Wuhan, has spread throughout the world in just a few months and has become a pandemic. Covid-19 has changed the world’s economic structure, people’s religious, political, social life, public health structure, people’s daily life structure and left millions of people unemployed. The primary way to fight this epidemic is to diagnose the infected person as soon as possible and remove him from healthy individuals. Currently, reverse transcription-polymerase chain reaction (TT-PZR) is used to detect coronavirus patients worldwide. However, according to the World Health Organization (WHO), TT-PZR has been emphasized to be low sensitivity and low personality in the detection of early stages. Recent research has shown that computer tomography (BT) screening images play a useful role in determining cases of coronavirus. This study compared the performance of the Evolutionary Neural Network (ESA) along with many classification algorithms for the predictive model based on the classification results of the Covid-19 cases, according to the latest technological developments. The result emphasized that the recommended ESA model performed better than other advanced classification algorithms and obtained 98.1% accuracy.

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