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Predictive Models for Decision Support in the COVID-19 Crisis

Predictive Models for Decision Support in the COVID-19 Crisis

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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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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.

Produktdetaljer
Sprog: Engelsk
Sider: 98
ISBN-13: 9783030619121
Indbinding: Paperback
Udgave:
ISBN-10: 3030619125
Udg. Dato: 1 dec 2020
Længde: 12mm
Bredde: 233mm
Højde: 155mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 1 dec 2020
Forfatter(e) Joao Alexandre Lobo Marques, Jose Xavier-Neto, Francisco Nauber Bernardo Gois, Simon James Fong


Kategori Ledelse og beslutningstagning


ISBN-13 9783030619121


Sprog Engelsk


Indbinding Paperback


Sider 98


Udgave


Længde 12mm


Bredde 233mm


Højde 155mm


Udg. Dato 1 dec 2020


Oplagsdato 1 dec 2020


Forlag Springer Nature Switzerland AG

Kategori sammenhænge