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Predictive Models for Decision Support in the COVID-19 Crisis (SpringerBriefs in Applied Sciences and Technology) - Softcover
- PublisherSpringer
- Publication date2020
- ISBN 10 3030619125
- ISBN 13 9783030619121
- BindingPaperback
- Edition number1
- Number of pages108
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Predictive Models for Decision Support in the Covid-19 Crisis
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Predictive Models for Decision Support in the COVID-19 Crisis (SpringerBriefs in Applied Sciences and Technology) by Marques, Joao Alexandre Lobo, Gois, Francisco Nauber Bernardo, Xavier-Neto, José, Fong, Simon James [Paperback ]
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Predictive Models for Decision Support in the COVID19 Crisis SpringerBriefs in Applied Sciences and Technology
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Springer Nature Switzerland AG
(2020)
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Predictive Models for Decision Support in the COVID-19 Crisis (SpringerBriefs in Applied Sciences and Technology)
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Predictive Models for Decision Support in the COVID-19 Crisis
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Predictive Models for Decision Support in the COVID-19 Crisis
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(2020)
ISBN 10: 3030619125
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Predictive Models for Decision Support in the COVID-19 Crisis
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. 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. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future. 108 pp. Englisch. Seller Inventory # 9783030619121
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