Screen LibraryData analytics for pandemics : a COVID-19 case study /
"Epidemic trend analysis, timeline progression, prediction and recommendation are critical for initiating effective public health control strategies and AI and data analytics play an important role in epidemiology, diagnostic and clinical fronts. The focus of this book is data analytics for COV...
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| Main Authors: | |
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| Group Author: | ; ; |
| Published: |
CRC Press, Taylor & Francis Group,
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| Publisher Address: | Boca Raton : |
| Publication Dates: | 2021. |
| Literature type: | Book |
| Language: | English |
| Edition: | First edition. |
| Series: |
CRC focus series
Intelligent signal processing and data analysis |
| Subjects: | |
| Summary: |
"Epidemic trend analysis, timeline progression, prediction and recommendation are critical for initiating effective public health control strategies and AI and data analytics play an important role in epidemiology, diagnostic and clinical fronts. The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies"-- |
| Carrier Form: | xv, 68 pages : illustrations, form ; 22 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780367558468 (hardcover) : 0367558467 (hardcover) 9780367564957 (paperback) 0367564955 (paperback) 9781003095415 (electronic book) 1003095410 (electronic book) |
| Index Number: | RA644 |
| CLC: |
R181 R563.1-37 |
| Call Number: | R563.1-37/S556 |