Predictive Models for Decision Support in the COVID-19 Crisis (Bog, Paperback / softback, Engelsk)
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  9. Predictive Models for Decision Support in the COVID-19 Crisis

Predictive Models for Decision Support in the COVID-19 Crisis

(Bog, Paperback / softback, Engelsk)
Forfattere: Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, Jose Xavier-Neto, Simon James Fong
Predictive Models for Decision Support in the COVID-19 Crisis
Forlag: Springer Nature Switzerland AG

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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.

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Forlag Springer Nature Switzerland AG
Forfattere Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, Jose Xavier-Neto, Simon James Fong
Type Bog
Format Paperback / softback
Sprog Engelsk
Udgave 1st ed. 2021
Udgivelsesdato 01-12-2020
Første udgivelsesår 2020
Serie SpringerBriefs in Applied Sciences and Technology
Illustrationer 41 Illustrations, color; 7 Illustrations, black and white; VII, 98 p. 48 illus., 41 illus. in color.
Originalsprog Switzerland
Sideantal 98
Indbinding Paperback / softback
Forlag Springer Nature Switzerland AG
Sideoplysninger 98 pages, 41 Illustrations, color; 7 Illustrations, black and white; VII, 98 p. 48 illus., 41 illus.
Mål 155 x 233 x 12
ISBN-13 / EAN-13 9783030619121