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.
General
Imprint: |
Springer Nature Switzerland AG
|
Country of origin: |
Switzerland |
Release date: |
May 2023 |
First published: |
2022 |
Editors: |
Joao Alexandre Lobo Marques
• Simon James Fong
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
158 |
Edition: |
1st ed. 2022 |
ISBN-13: |
978-3-03-099021-3 |
Categories: |
Books
|
LSN: |
3-03-099021-4 |
Barcode: |
9783030990213 |
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