Predicting the Effect of Covid-19 by using Artificial Intelligence: A Case Study

Sucharitha, G.; Vemana Chary, D.

The current researchers all over the world are striving to facilitate the answer to COVID-19 in a unique commitment of scientific collaborations, and with Cognitive technologies, highly flexible learning processes are needed to maintain the transmission of knowledge, prototype and code, by integrating application areas to specific culture and cross-border cooperation. Experts in artificial intelligence and machine learning technology were tracked and predicted with real-time data that was created worldwide by this pandemic situation and distributed COVID-19 patient information timely. Considered physiological features followed by clinical tests of patients with COVID-19 with very simple access to subsequent data transformation was relevant, but complicated. This paper works on in-depth Exploratory Data Analysis (EDA) prediction analysis over global database of COVID-19 medical data from around the world will be available benefiting future artificial predictive, analytical and biomedical research additional COVID-19 approaches including associated pandemics.