A model prepared
study prepared by Dr Anuradha Srivasaraghava on how machine learning can be
used to understand and fight coronavirus or covid-19 was shared in a webinar.
She shared her
model and spoke on machine learning (ML) in a webinar organised by Shri
Govindram Seksaria Institute of Technology and Science (SGSITS) on Wednesday.
About 1,000 participants attended the seminar.
She had
collected some of available data sets from the covid-19 official India website.
“This data set has been applied the Logistic regression model to find the
accuracy of the model,” Anuradha shared her model.
She explained
that accuracy of this model predicts the chances of the admitted patient to get
recovered. “Some of the parameters such as a patients age sex and travel
history based on which she predicted by applying some of the machine learning
algorithms that what is the chances of the of the patient to get recovered,”
Anuradha said.
“An artificial
intelligence deep learning model can accurately detect COVID-19 and
differentiate it from community acquired pneumonia and other lung diseases,”
explained Anuradha. She explained this was found in a multi-center study
published in the journal Radiology.
She further
discussed present scenario machine learning can be applied to some of the
important aspects such as monitoring the social distancing.
“The use of ML
to predict the economic scenario after the lockdown is over, application of
robots for spraying the disinfectants in various infected areas and in the end
she provided some of the important feedback by sharing some of the important
links on which research can be done in this area,” Anuradha said.
Further, the session was concluded on the
note ML is an important tool in fighting the current pandemic. “If we take this
opportunity to collect data, pool our knowledge, and combine our skills, we can
save many lives – both now and in the future,” Anuradha said.