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Predictive Models For Decision Support In The Covid-19 Crisis

by Simon James Fong, Jose Xavier-Neto, Francisco Nauber Bernardo Gois e Joao Alexandre Lobo Marques
language: english
Publisher: Springer Nature Switzerland AG, December of 2020 ‧
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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.

Predictive Models For Decision Support In The Covid-19 Crisis

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

Property Description
ISBN: 9783030619121
Publisher: Springer Nature Switzerland AG
Release Date: December of 2020
Language: English
Dimensions: 233 x 155 x 12 mm
Cover: Softcover
Pages: 98
Format: Book
Collection: Springerbriefs In Applied Sciences And Technology
Categories: Books in English > Management > Management and Organization
Books in English > Others
EAN: 9783030619121

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