Open AccessANALYZING CHEST X-RAY TO DIFFERENTIATE SYMPTOMS OF COVID-19 THROUGH ML APPROACH
Author(s) -
Deepali R Deshpande,
Raj L Shah,
Anish N Shaha
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v05i12.042
Subject(s) - covid-19 , social distance , medicine , distancing , simple (philosophy) , computer science , artificial intelligence , medical emergency , radiology , pathology , disease , outbreak , infectious disease (medical specialty) , philosophy , epistemology
The motive behind the project is to build amachine learning model for detection of Covid-19. Usingthis model, it is possible to classify images of chest x-raysinto normal patients, pneumatic patients, and covid-19positive patients. This CNN based model will helpdrastically to save time constraints among the patients.Instead of relying on limited RT-PCR kits, just a simplechest x-ray can help us determine health of the patient. Notonly we get immediate results, but we can also practicesocial distancing norms more effectively.