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A Study on COVID-19 Prediction and Detection With Artificial Intelligence-Based Real-Time Healthcare Monitoring Systems
Abstract
COVID-19 is a major pandemic disease exploited in this century in the whole world. COVID-19 was started om Wuhan, China in November 2019. The main reason for spreading this disease was that test kits were not available in huge amounts to diagnose the COVID-19, and no vaccine was available to cure this disease. Many researchers are trying to make a vaccine for the treatment of this disease. Prevention is better than cure. Therefore, prevention from this epidemic disease is diagnosis at early stages, and treatment should be given to the patient at an accurate time so that patient can escape death. Millions of people were infected by this disease, and most of them lost their lives after suffering from this disease. As we all know, this disease diagnosis test is complicated. Therefore, many smart apps like Siri, Cova App, Arogya Setu App, etc. and digital systems are used to detect and diagnose cases of infected people. These systems are embedded with artificial intelligence techniques. For diagnosis, the COVID-19 computer tomography is based on deep learning convolutional neural network.
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