COVID-19 : prediction, decision-making, and its impacts / K.C. Santosh, Amit Joshi, editors.
Santosh, K. C., editor.; Joshi, Amit, editor.
2021
RA644.C67
Available Online

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Title COVID-19 : prediction, decision-making, and its impacts / K.C. Santosh, Amit Joshi, editors.
ISBN 9789811596827 (electronic bk.)
9811596824 (electronic bk.)
9789811596834 (print)
9811596832
9811596816
9789811596810
DOI https://doi.org/10.1007/978-981-15-9682-7
Published Singapore : Springer, [2021]
Language English
Description 1 online resource : illustrations (some color)
Other Standard Identifiers 10.1007/978-981-15-9682-7 doi
Call Number RA644.C67
Dewey Decimal Classification 616.2/414
Summary This book outlines artificial intelligence for COVID-19 issues that are ranging from prediction to decision-making for healthcare support in human lives. Starting with major COVID-19 issues and challenges, it takes possible AI-based solutions for multiple problems, such as early prediction, its role for public health, detection of positive cases, drug analysis, and healthcare support. It mainly employs publicly available data (population) to predict who should be tested for COVID-19, for example, radiological image data to detect COVID-19 positive cases from other similar and/or different manifestations, such as pneumonia, distributed healthcare support, and supply chains in the middle of COVID-19 pandemic. The book includes recently developed AI-driven tools and techniques, such as pattern recognition, anomaly detection, machine learning, and data analytics. It covers a wide range of audience from computer science and engineering to healthcare professionals.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 11, 2021).
Added Author Santosh, K. C., editor.
Joshi, Amit, editor.
Series Lecture notes on data engineering and communications technologies ; volume 60.
Available in Other Form COVID-19.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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