Data analytics for coronavirus disease (COVID-19) outbreak / Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit Narendra Mahalle, Nilanjan Dey.
| Author/creator | Shinde, Gitanjali Rahul, 1983- |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2021. |
| Description | pages cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Intelligent signal processing and data analysis |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020020490 |
| ISBN | 9780367558468 (hardback) |
| ISBN | 9780367564957 (paperback) |
| ISBN | (ebook) |