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(Ebook) Predictive Models for Decision Support in the COVID-19 Crisis by Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James Fong ISBN 9783030619121, 9783030619138, 3030619125, 3030619133

  • SKU: EBN-22496442
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Instant download (eBook) Predictive Models for Decision Support in the COVID-19 Crisis after payment.
Authors:Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James Fong
Pages:0 pages.
Year:2021
Editon:1st ed.
Publisher:Springer International Publishing;Springer
Language:english
File Size:4.78 MB
Format:pdf
ISBNS:9783030619121, 9783030619138, 3030619125, 3030619133
Categories: Ebooks

Product desciption

(Ebook) Predictive Models for Decision Support in the COVID-19 Crisis by Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James Fong ISBN 9783030619121, 9783030619138, 3030619125, 3030619133

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.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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