Saravanakumar, SM (2022) PREDICTION OF NOVEL CORONAVIRUS-19 BASED ON EXTREME LEARNING MACHINE ALGORITHM. PREDICTION OF NOVEL CORONAVIRUS-19 BASED ON EXTREME LEARNING MACHINE ALGORITHM, 20 (8). pp. 5714-5726.

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Abstract

In March 2020, the World Health Organization (WHO) declared the new corona virus
pneumonia (COVID-19) as a world pandemic, which means that the epidemic has broken out
worldwide. COVID-19 is a highly contagious virus which almost freezes the world along with its
economy. Its ability of human-to-human and surface-to-human transmission turns the world into
catastrophic phase. The main clinical symptoms of COVID-19 are fever, cough, and fatigue, which
may lead to a fatal complication: acute respiratory distress syndrome. The main challenge in
inhibiting the spread of this disease is the lack of efficient detection methods. In clinical practice, by
combining clinical symptoms and travel history, CT Scan is an efficient and safe method to diagnose
COVID-19. Computer Aided Diagnostic technology improves the sensitivity and specificity of doctor's
diagnosis and is accurate and efficient, which helps rapid diagnosis of a large number of suspicious
cases. For example, the out preformed AI-assisted diagnosis system can achieve an accuracy rate
comparable to that of radiologists, and it take less than 1 second to perform a diagnosis. In this
research work, the main aim is to predict the future conditions of COVID-19 to recede its impact. The
prediction results show the superiority of the proposed intelligent predictors with accuracy greater
than 98%. Therefore, medical personnel can take defensive steps earlier.

Item Type: Article
Uncontrolled Keywords: In March 2020, the World Health Organization (WHO) declared the new corona virus pneumonia (COVID-19) as a world pandemic, which means that the epidemic has broken out worldwide. COVID-19 is a highly contagious virus which almost freezes the world along with its economy. Its ability of human-to-human and surface-to-human transmission turns the world into catastrophic phase. The main clinical symptoms of COVID-19 are fever, cough, and fatigue, which may lead to a fatal complication: acute respiratory distress syndrome. The main challenge in inhibiting the spread of this disease is the lack of efficient detection methods. In clinical practice, by combining clinical symptoms and travel history, CT Scan is an efficient and safe method to diagnose COVID-19. Computer Aided Diagnostic technology improves the sensitivity and specificity of doctor's diagnosis and is accurate and efficient, which helps rapid diagnosis of a large number of suspicious cases. For example, the out preformed AI-assisted diagnosis system can achieve an accuracy rate comparable to that of radiologists, and it take less than 1 second to perform a diagnosis. In this research work, the main aim is to predict the future conditions of COVID-19 to recede its impact. The prediction results show the superiority of the proposed intelligent predictors with accuracy greater than 98%. Therefore, medical personnel can take defensive steps earlier.
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Dr. B Sivakumar
Date Deposited: 20 Apr 2026 05:29
Last Modified: 20 Apr 2026 05:29
URI: https://ir.psgcas.ac.in/id/eprint/2809

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