Predictive Models for Decision Support in the COVID-19 Crisis (1st ed. 2021) (SpringerBriefs in Applied Sciences and Technology)

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Synopsis
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.
Copyright:
2021

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783030619138
Related ISBNs:
9783030619121
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
Springer
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Business and Finance, Technology, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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