Predictive Models for Decision Support in the COVID-19 Crisis

1st ed. 2021

by Francisco Nauber Bernardo Gois , Joao Alexandre Lobo Marques , Jose Xavier-Neto , Simon James Fong

Book Details

Format Paperback / Softback

Book Series SpringerBriefs in Applied Sciences and Technology

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

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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.

Get Predictive Models for Decision Support in the COVID-19 Crisis by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages.