Open AccessDetection of Novel Corona Virus Using Machine Learning and Image Recognition
Author(s) -
Dhruv Garg and Saurabh Gautam
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061274
Subject(s) - computer science , artificial intelligence , corona (planetary geology) , machine learning , virus diseases , deep learning , pattern recognition (psychology) , virus , virology , medicine , astrobiology , venus , physics
In the recent past whole of the world has come to a standstill due to a novel airborne virus. The airbornenature of this disease has made it highly contagious which has led to a great number of people beinginfected very fast. This requires a new method of testing that is faster and more precise. MachineLearning has allowed us to develop sophisticated self-learning models that can learn from data beingfed and decide on entirely new options. In the past we have used different Machine Learning algorithmto make models on different biomedical dataset to detect various kind of acute or chronic diseases.Here we have developed a model that successfully detects severe cases of Novel corona virus affectedperson with great precision.