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SARS-CoV-2 TRAUMA HANDLING AND HAZARD RESCUE THROUGH MACHINE LEARNING
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| Author:
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BALAKRISHNAN S, M.SYED SHAHUL HAMEED, SHAMEER MOHAMMED, SHIMAZ KHAN SHAIK, ASWIN G
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| Abstract:
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COVID-2019 has led to the greatest world menace of livelihood communities. This is a catastrophic epidemic that is basically known for SARS-CoV-2 which is expanded as Severe Acute Respiratory Syndrome. Meanwhile, the Coronavirus disease that emerged from China had lots of devastating effects on society and exhausted the ultra modern health-care systems worldwide. Now, it's remarkable to assist ML to identify, detect and predict pandemic immense nature. The entire society is posing their phenomenal attempts to oppose the challenge of fatal disease in conditions with economic frameworks, data origins, shielding gears, life-hazard treatments, medicines and numerous resources. This article mainly focuses on the Machine Learning model techniques that are comprehensively used for Screening, Predicting, Forecasting, Tracing and Drug managing based on the allied outbreak. The highly demanded ML methods point towards wireless infrastructure, real-time collections and end-to-end user devices. This evaluation suggests machine learning is a powerful aid for pandemics cause.
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| Keyword:
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COVID-2019, Coronavirus disease, Machine learning, Pandemic.
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| EOI:
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| DOI:
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https://doi.org/10.31838/ijpr/2021.13.01.500
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| Download:
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