Computerized systems for diagnosis and treatment of COVID-19 / Joao Alexandre Lobo Marques, Simon James Fong, editors.
Marques, Joao Alexandre Lobo.; Fong, Simon.
2023
RA644.C67 C66 2023
Available Online

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Title Computerized systems for diagnosis and treatment of COVID-19 / Joao Alexandre Lobo Marques, Simon James Fong, editors.
ISBN 9783031307881 (electronic bk.)
3031307887 (electronic bk.)
3031307879
9783031307874
DOI https://doi.org/10.1007/978-3-031-30788-1
Imprint Cham : Springer, 2023.
Language English
Description 1 online resource (210 p.)
Other Standard Identifiers 10.1007/978-3-031-30788-1 doi
Call Number RA644.C67 C66 2023
Dewey Decimal Classification 616.24144
Summary This book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 12, 2023).
Added Author Marques, Joao Alexandre Lobo.
Fong, Simon.
Available in Other Form Computerized Systems for Diagnosis and Treatment of COVID-19
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