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Predictive Models for Decision Support in the COVID-19 Crisis
Engelsk
Bogcover for Predictive Models for Decision Support in the COVID-19 Crisis af Joao Alexandre Lobo Marques, Jose Xavier-Neto, Francisco Nauber Bernardo Gois, Simon James Fong, 9783030619121
Specifikationer
Sprog:
Engelsk
Sider:
98
ISBN-13:
9783030619121
Indbinding:
Paperback
ISBN-10:
3030619125
Udg. Dato:
1 dec 2020
Størrelse i cm:
15,5 x 23,3 x 1,2
Oplagsdato:
1 dec 2020

Predictive Models for Decision Support in the COVID-19 Crisis

Engelsk
Paperback 2020
Format:

Bog beskrivelse
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.

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Specifikationer
Sprog:
Engelsk
Sider:
98
ISBN-13:
9783030619121
Indbinding:
Paperback
ISBN-10:
3030619125
Udg. Dato:
1 dec 2020
Størrelse i cm:
15,5 x 23,3 x 1,2
Oplagsdato:
1 dec 2020
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