Affiliation:
1. Department of Computer Engineering, Poornima College of Engineering, Jaipur, India
2. Global Research Institute of Technology and Engineering, USA
Abstract
The COVID-19 epidemic has given an unusually terrible circumstance for the entire planet, terrifyingly stopping life, and taking thousands of lives. COVID-19 continues to pose a serious threat to the public health system due to its expansion to 212 nations and territories, rising incidence of infection cases, and death tolls of 5,212,172 and 334,915 (as of May 22, 2020). This initiative uses artificial intelligence (AI) to produce a response to fight the infection. Several deep learning (DL) techniques have been demonstrated to accomplish this, including long/short term memory, extreme learning machine (ELM), and generative adversarial networks (GANs). It describes an integrated approach to bioinformatics that combines a number of features for both structured and unstructured data sources to produce user-friendly platforms for physicians and academics. The speedier detection and treatment of COVID-19 illnesses is the main advantage of these AI-based solutions. In an attempt to identify the approach with the best accuracy and results, the work proposed a number of different approaches.