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Predictive Models for Decision Support in the COVID-19 Crisis
Hoofdkenmerken
Auteur: Marques, Joao Alexandre Lobo;
Titel: Predictive Models for Decision Support in the COVID-19 Crisis
Uitgever: Springer Nature Switzerland AG
ISBN: 9783030619121
ISBN boekversie: 9783030619138
Serie: SpringerBriefs in Applied Sciences and Technology
Editie: 1st ed. 2021
Land van oorsprong: Switzerland
Prijs: € 81.94
Verschijningsdatum: 01-12-2020
Bericht: Langere levertijd (2-3 weken)
Inhoudelijke kenmerken
Categorie: Expert systems / knowledge-based systems
Geillustreerd: 41 Illustrations, color; 7 Illustrations, black and white
Technische kenmerken
Verschijningsvorm: Paperback / softback
Paginas: 98
Hoogte mm.: 155
Breedte mm.: 233
Dikte mm.: 12
Gewicht gr.: 176
 

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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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