What Is Deep Learning and How Has It Helped the COVID-19 Pandemic?

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Author(s): Elif Kartal (Istanbul University, Turkey)and Odelia Schwartz (University of Miami, USA)
Copyright: 2022
Pages: 24
Source title: Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics
Source Author(s)/Editor(s): Şahver Omeraki Çekirdekci (Haliç University, Turkey), Özlem İngün Karkış (Doğuş University, Turkey)and Suna Gönültaş (Doğuş University, Turkey)
DOI: 10.4018/978-1-7998-8674-7.ch018

Keywords: Information Science Reference / Medicine & Healthcare / Public Health & Healthcare Delivery / Sociology

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Abstract

Since the beginning of the COVID-19 pandemic, researchers have been trying to find solutions through international collaborations and interdisciplinary studies. This chapter aims to present how deep learning is used for the COVID-19 pandemic. Within this scope, this chapter covers the fundamentals of deep learning in terms of definitions, key concepts, popular network types, and application areas. Then it gives a summary of the most recent studies in which deep learning models are used for COVID-19. The authors believe this chapter is a good start for researchers who want to study deep learning. In addition, the literature review section of this chapter, which was prepared by considering the COVID-19 pandemic, is expected to shed light on a broad range of health studies within the pandemic process and to provide better solutions to similar problems encountered in different sectors.

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What Is Deep Learning and How Has It Helped the COVID-19 Pandemic?

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