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Predicting Epidemic Outbreaks Using IOT, Artificial Intelligence and Cloud

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The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care

Part of the book series: Internet of Things ((ITTCC))

Abstract

All COVID-19 affected countries putting their efforts to deal with the outspread of this death-dealing disease in terms of infrastructure, economics, medical treatments and many other resources. Nowadays, there are number of coronavirus analysis and prediction models are available to make decisions and to informed, aware people. But, absence of necessary data, these models are not able to show precise values. Based on the datasets, reports and on account of the uniform nature of the coronavirus and variations in its behaviour from place-to-place, this study recommend ML as well as deep learning as worthwhile tool to model the outbreak. To come up with for the well-being of living society, we prefer to utilize the ML and deep learning models with the focus for understanding its everyday exponential behaviour in addition to the prediction graphs of further growth of the COVID-2019 over the world by utilizing the available facts and dataset.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, India

    S. Shitharth & Gouse Baig Mohammad

  2. Department of Computer Science and Engineering, KG Reddy College of Engineering and Technology, Hyderabad, India

    K. Sangeetha

Authors
  1. S. Shitharth
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  2. Gouse Baig Mohammad
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  3. K. Sangeetha
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Editor information

Editors and Affiliations

  1. Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

  2. Vardhaman College of Engineering, Hyderabad, Telangana, India

    M.A. Jabbar

  3. Vardhaman College of Engineering, Hyderabad, Telangana, India

    Rajanikanth Aluvalu

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  5. School of Engineering, Instituto Superior de Engenharia, Porto, Portugal

    Ana Madureira

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Shitharth, S., Mohammad, G.B., Sangeetha, K. (2021). Predicting Epidemic Outbreaks Using IOT, Artificial Intelligence and Cloud. In: Siarry, P., Jabbar, M., Aluvalu, R., Abraham, A., Madureira, A. (eds) The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-75220-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-75220-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-75219-4

  • Online ISBN: 978-3-030-75220-0

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