WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays

Coronavirus is a large virus family consisting of diverse viruses, some of which disseminate among mammals and others cause sickness among humans. COVID-19 is highly contagious and is rapidly spreading, rendering its early diagnosis of preeminent status. Researchers, medical specialists and organ...

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Main Authors: Peeyush Kumar, Ayushe Gangal, Sunita Kumari
Format: Article
Language:English
Published: Journal of Pure and Applied Microbiology 2020-05-01
Series:Journal of Pure and Applied Microbiology
Subjects:
Online Access:https://microbiologyjournal.org/wisdomnet-prognosis-of-covid-19-with-slender-prospect-of-false-negative-cases-and-vaticinating-the-probability-of-maturation-to-ards-using-posteroanterior-chest-x-rays/
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author Peeyush Kumar
Ayushe Gangal
Sunita Kumari
author_facet Peeyush Kumar
Ayushe Gangal
Sunita Kumari
author_sort Peeyush Kumar
collection DOAJ
description Coronavirus is a large virus family consisting of diverse viruses, some of which disseminate among mammals and others cause sickness among humans. COVID-19 is highly contagious and is rapidly spreading, rendering its early diagnosis of preeminent status. Researchers, medical specialists and organizations all over the globe have been working tirelessly to combat this virus and help in its containment. In this paper, a novel neural network called WisdomNet has been proposed, for the diagnosis of COVID-19 using chest X-rays. The WisdomNet uses the concept of ‘Wisdom of Crowds’ as its founding idea. It is a two-layered convolutional Neural Network (CNN), which takes chest x-ray images as input. Both layers of the proposed neural network consist of a number of neural networks each. The dataset used for this study consists of chest x-ray images of COVID-19 positive patients, compiled and shared by Dr. Cohen on GitHub, and the chest x-ray images of healthy lungs and lungs affected by viral and bacterial pneumonia were obtained from Kaggle. The network not only pinpoints the presence of COVID-19, but also gives the probability of the disease maturing into Acute Respiratory Distress Syndrome (ARDS). Thus, predicting the progression of the disease in the COVID-19 positive patients. The network also slender the occurrences of false negative cases by employing a high threshold value, thus aids in curbing the spread of the disease and gives an accuracy of 100% for successfully predicting COVID-19 among the chest x-rays of patients affected with COVID-19, bacterial and viral pneumonia.
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spelling doaj.art-6776a72c53714346af018bfad4cbd1422022-12-21T19:33:03ZengJournal of Pure and Applied MicrobiologyJournal of Pure and Applied Microbiology0973-75102581-690X2020-05-0114suppl 186987810.22207/JPAM.14.SPL1.24WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-RaysPeeyush Kumar0https://orcid.org/0000-0001-6771-740XAyushe Gangal1https://orcid.org/0000-0002-7831-9682Sunita Kumari2https://orcid.org/0000-0002-9864-6584G.B. Pant Government Engineering College, Delhi - 110 020, India.G.B. Pant Government Engineering College, Delhi - 110 020, India.G.B. Pant Government Engineering College, Delhi - 110 020, India.Coronavirus is a large virus family consisting of diverse viruses, some of which disseminate among mammals and others cause sickness among humans. COVID-19 is highly contagious and is rapidly spreading, rendering its early diagnosis of preeminent status. Researchers, medical specialists and organizations all over the globe have been working tirelessly to combat this virus and help in its containment. In this paper, a novel neural network called WisdomNet has been proposed, for the diagnosis of COVID-19 using chest X-rays. The WisdomNet uses the concept of ‘Wisdom of Crowds’ as its founding idea. It is a two-layered convolutional Neural Network (CNN), which takes chest x-ray images as input. Both layers of the proposed neural network consist of a number of neural networks each. The dataset used for this study consists of chest x-ray images of COVID-19 positive patients, compiled and shared by Dr. Cohen on GitHub, and the chest x-ray images of healthy lungs and lungs affected by viral and bacterial pneumonia were obtained from Kaggle. The network not only pinpoints the presence of COVID-19, but also gives the probability of the disease maturing into Acute Respiratory Distress Syndrome (ARDS). Thus, predicting the progression of the disease in the COVID-19 positive patients. The network also slender the occurrences of false negative cases by employing a high threshold value, thus aids in curbing the spread of the disease and gives an accuracy of 100% for successfully predicting COVID-19 among the chest x-rays of patients affected with COVID-19, bacterial and viral pneumonia.https://microbiologyjournal.org/wisdomnet-prognosis-of-covid-19-with-slender-prospect-of-false-negative-cases-and-vaticinating-the-probability-of-maturation-to-ards-using-posteroanterior-chest-x-rays/wisdomnetcovid-19ardschest x-raysconvolutional neural networks
spellingShingle Peeyush Kumar
Ayushe Gangal
Sunita Kumari
WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays
Journal of Pure and Applied Microbiology
wisdomnet
covid-19
ards
chest x-rays
convolutional neural networks
title WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays
title_full WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays
title_fullStr WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays
title_full_unstemmed WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays
title_short WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays
title_sort wisdomnet prognosis of covid 19 with slender prospect of false negative cases and vaticinating the probability of maturation to ards using posteroanterior chest x rays
topic wisdomnet
covid-19
ards
chest x-rays
convolutional neural networks
url https://microbiologyjournal.org/wisdomnet-prognosis-of-covid-19-with-slender-prospect-of-false-negative-cases-and-vaticinating-the-probability-of-maturation-to-ards-using-posteroanterior-chest-x-rays/
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