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Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology Joao Alexandre Lobo Marques 1st ed. 2021 edition
Predictive Models for Decision Support in the COVID-19 Crisis - SpringerBriefs in Applied Sciences and Technology
Joao Alexandre Lobo Marques
This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data.
98 pages, 13 Tables, color; 41 Illustrations, color; 7 Illustrations, black and white; VII, 98 p. 48
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 1, 2020 |
| ISBN13 | 9783030619121 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 98 |
| Dimensions | 233 × 155 × 12 mm · 176 g |
| Language | German |
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