Predictive Analytics: COVID-19
Efficient Machine Learning Algorithm that can predict
COVID-19 from X-ray images
2019-Novel-Coronavirus (COVID-19) is a term everyone in the world is aware of
and this pandemic is an unusual challenge to most of us. Scientists have realized
this obstacle and started looking for any knowledge in the world which can be
a potential solution to handle this pandemic. But, critically, after a thorough
examination of knowledge especially in the direction of antibody and plasma based
methods, controlling COVID-19 is puzzling. After a closer scrutiny we also express
an obvious contradiction that the majority of the research activities on COVID-19
across the globe is influenced by antibody-based or plasma-based methods. For a
large population like India, detecting the virus is a real challenge as the spreading
rate is exponential. So, it is necessary to find a solution for early detection of this
virus and a solution that is feasible to implement on such populated countries.
In this project we propose to practice some deep learning
image classification algorithms namely to identify the COVID-19 patients using the
chest X-ray images. It is easy to find publications using deep learning models like GoogLeNet, AlexNet or
ResNet etc., which are high end classifiers and they
require a huge amount of data and computing infrastructure to learn.
An estimate for India from a global perspective of this pandemic
data as on May 6, 2020
