| Residential College | false |
| Status | 已發表Published |
| Predictive Models for Decision Support in the COVID-19 Crisis | |
Marques, Joao Alexandre Lobo1 ; Gois, Francisco Nauber Bernardo2; Xavier-Neto, José2; Fong, Simon3
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| Subtype | 著Authored |
| 2022-06 | |
| Publisher | Springer |
| Publication Place | Switzerland |
| Abstract |
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| Keyword | Predictive Models Decision Support Covid-19 Crisis Epidemiologic Models Nonlinear Filtering Artificial Intelligence Model Disease Tracking Disease Prediction Pandemic Modeling Coronavirus |
| ISBN | 978-3-030-61913-8 |
| DOI | 10.1007/978-3-030-61913-8 |
| URL | View the original |
| Is Part of Series | Springer Briefs in Applied Sciences and Technology ; Springer Briefs in Applied Sciences and Technology ; Springer Briefs in Applied Sciences and Technology |
| Indexed By | BKCI-S |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Book |
| Collection | Faculty of Science and Technology |
| Affiliation | 1.University of Saint Joseph, Macau, China 2.Health of the Government of the State of Ceara, Fortaleza, Brazil 3.University of Macau, Macau SAR |
| Recommended Citation GB/T 7714 | Marques, Joao Alexandre Lobo,Gois, Francisco Nauber Bernardo,Xavier-Neto, José,et al. Predictive Models for Decision Support in the COVID-19 Crisis[M]. Switzerland:Springer, 2022. |
| APA | Marques, Joao Alexandre Lobo., Gois, Francisco Nauber Bernardo., Xavier-Neto, José., & Fong, Simon (2022). Predictive Models for Decision Support in the COVID-19 Crisis. Springer. |
| Files in This Item: | There are no files associated with this item. | |||||
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