Epidemic Analytics for Decision Supports in COVID19 Crisis

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Éditeur :

Springer


Paru le : 2022-05-20

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Description
Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations.

Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.
Pages
158 pages
Collection
n.c
Parution
2022-05-20
Marque
Springer
EAN papier
9783030952808
EAN PDF
9783030952815

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
7434 Ko
Prix
147,69 €
EAN EPUB
9783030952815

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
39209 Ko
Prix
147,69 €

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