Joao Alexandre Lobo Marques

(Author)

Predictive Models for Decision Support in the Covid-19 Crisis (2021)Paperback - 2021, 1 December 2020

Predictive Models for Decision Support in the Covid-19 Crisis (2021)
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Part of Series
Springerbriefs in Applied Sciences and Technology
Print Length
98 pages
Language
English
Publisher
Springer
Date Published
1 Dec 2020
ISBN-10
3030619125
ISBN-13
9783030619121

Description

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.

Product Details

Authors:
Joao Alexandre Lobo MarquesFrancisco Nauber Bernardo GoisJosé Xavier-NetoSimon James Fong
Book Edition:
2021
Book Format:
Paperback
Country of Origin:
NL
Date Published:
1 December 2020
Dimensions:
23.39 x 15.6 x 0.56 cm
ISBN-10:
3030619125
ISBN-13:
9783030619121
Language:
English
Location:
Cham
Pages:
98
Publisher:
Weight:
163.29 gm

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