Description: Further DetailsTitle: Predictive Models for Decision Support in the COVID-19 CrisisCondition: NewEAN: 9783030619121ISBN: 9783030619121Edition: 1st ed. 2021Publisher: Springer Nature Switzerland AGFormat: PaperbackRelease Date: 12/01/2020Description: 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.Language: EnglishCountry/Region of Manufacture: CHItem Height: 235mmItem Length: 155mmAuthor: Simon James Fong, Francisco Nauber Bernardo Gois, José Xavier-Neto, Joao Alexandre Lobo MarquesGenre: MedicineTopic: Business & Finance, Computing & Internet, Technology & EngineeringBook Series: SpringerBriefs in Applied Sciences and TechnologyRelease Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
Price: 55.73 USD
Location: GU14 0GT
End Time: 2024-11-23T03:07:45.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Return policy details:
Publication Name: Predictive Models for Decision Support in the COVID-19 Crisis
Title: Predictive Models for Decision Support in the COVID-19 Crisis
EAN: 9783030619121
ISBN: 9783030619121
Edition: 1st ed. 2021
Release Date: 12/01/2020
Release Year: 2020
Country/Region of Manufacture: CH
Item Height: 235mm
Series: SpringerBriefs in Applied Sciences and Technology
Book Title: Predictive Models for Decision Support in the Covid-19 Crisis
Number of Pages: VII, 98 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Industrial Engineering, Industrial Management, Epidemiology
Publication Year: 2020
Illustrator: Yes
Genre: Technology & Engineering, Business & Economics, Medical
Item Weight: 16 Oz
Item Length: 9.3 in
Author: Joao Alexandre Lobo Marques, José Xavier-Neto, Francisco Nauber Bernardo Gois, Simon James Fong
Item Width: 6.1 in
Book Series: Springerbriefs in Applied Sciences and Technology Ser.
Format: Trade Paperback
