Journal of Infectious Diseases and Treatment Open Access

  • ISSN: 2472-1093
  • Journal h-index: 7
  • Journal CiteScore: 1.06
  • Journal Impact Factor: 0.77
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days

Abstract

Early Prediction of Covid-19 Using Modified Recurrent Neural Networks

Asadi Srinivasulu1*, Tarkeswar Barua1, Srinivas Nowduri2 and Sivaram R2

Today COVID-19 virus development has become one of the most broadly perceived kind of disease. This research work is accomplish different pre-training techniques and strategies associated, under deep recurrent networks (DRN) in classifying X-ray chest images into three broad collection viz., Normal/Negative, Pneumonia positive and COVID-19 positive; based on two other open-source data sets. This five-fold research work is based on data sets consists of 980 X-ray chest images of contaminated COVID-19 patients, along with experimentation using various deep[16] learning[31] and neural network methods; organized in the following way.