A new approach to predict COVID-19 using artificial neural networks
Soham Guhathakurata1, Sayak Saha1, Souvik Kundu2, Arpita Chakraborty3 and Jyoti Sekhar Banerjee3, 1Department of CSE, Bengal Institute of Technology, Kolkata, India, 2Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, United States, 3Department of ECE, Bengal Institute of Technology, Kolkata, India
Abstract
In COVID-19, most of the patients have been diagnosed with pneumonia in their early stages. Most of the symptoms that have been in the display or have evolved in the last couple of months like fever, cough, and shortness of breath have been predominant. Moreover, based on the studies and reports of the infected patients, ...
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