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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

1st ed. 2021

Book Details

Format Paperback / Softback
ISBN-10 3030619125
ISBN-13 9783030619121
Edition 1st ed. 2021
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 1st, 2020
Print length 98 Pages
Weight 176 grams
Dimensions 15.50 x 23.30 x 1.20 cms
Ksh 9,900.00
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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.
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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