Prediction of Epidimic Outbreak using Deep Learning Methods

Abstract

In late December 2019, a lot of unexplained pneumonia cases have been accounted for in Wuhan, China. Later it is declared a pandemic. The spread of the virus from people is increasing at a high rate and that led to the loss of human life. People with Hereditary diseases are likely to be the most affected by this virus. In this, an analysis is made to know in how many days a patient will take to recover from virus and how the infection spread across people. This analysis is performed using Deep Learning (DL) method. K-Means and the SIR Model are the two models used for implementation to analyze the disease.