COVID-19: prediction, screening, and decision-making

In this chapter, we mainly focus on the use of AI-driven tools for COVID-19 predictive modeling, screening, and decision-making. We first discuss prediction models, their merits, and pitfalls. We then review deep learning models for COVID-19 detection and/or screening (with experiments) by taking di...

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Detalles Bibliográficos
Autores principales: Santosh, KC, Das, Nibaran, Ghosh, Swarnendu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629344/
http://dx.doi.org/10.1016/B978-0-12-823504-1.00015-5
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author Santosh, KC
Das, Nibaran
Ghosh, Swarnendu
author_facet Santosh, KC
Das, Nibaran
Ghosh, Swarnendu
author_sort Santosh, KC
collection PubMed
description In this chapter, we mainly focus on the use of AI-driven tools for COVID-19 predictive modeling, screening, and decision-making. We first discuss prediction models, their merits, and pitfalls. We then review deep learning models for COVID-19 detection and/or screening (with experiments) by taking different dataset sizes into account, which is followed by a conclusive study on how big data is big. The chapter provides a journey of deep neural networks for lung abnormality screening, where we consider COVID-19 as a particular case.
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spelling pubmed-86293442021-11-30 COVID-19: prediction, screening, and decision-making Santosh, KC Das, Nibaran Ghosh, Swarnendu Deep Learning Models for Medical Imaging Article In this chapter, we mainly focus on the use of AI-driven tools for COVID-19 predictive modeling, screening, and decision-making. We first discuss prediction models, their merits, and pitfalls. We then review deep learning models for COVID-19 detection and/or screening (with experiments) by taking different dataset sizes into account, which is followed by a conclusive study on how big data is big. The chapter provides a journey of deep neural networks for lung abnormality screening, where we consider COVID-19 as a particular case. 2022 2021-10-01 /pmc/articles/PMC8629344/ http://dx.doi.org/10.1016/B978-0-12-823504-1.00015-5 Text en Copyright © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Santosh, KC
Das, Nibaran
Ghosh, Swarnendu
COVID-19: prediction, screening, and decision-making
title COVID-19: prediction, screening, and decision-making
title_full COVID-19: prediction, screening, and decision-making
title_fullStr COVID-19: prediction, screening, and decision-making
title_full_unstemmed COVID-19: prediction, screening, and decision-making
title_short COVID-19: prediction, screening, and decision-making
title_sort covid-19: prediction, screening, and decision-making
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629344/
http://dx.doi.org/10.1016/B978-0-12-823504-1.00015-5
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AT dasnibaran covid19predictionscreeninganddecisionmaking
AT ghoshswarnendu covid19predictionscreeninganddecisionmaking

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