Published by Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030619125 ISBN 13: 9783030619121
Language: English
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer International Publishing, Springer International Publishing Dez 2020, 2020
ISBN 10: 3030619125 ISBN 13: 9783030619121
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 108 pp. Englisch.
Published by Springer International Publishing, Springer International Publishing, 2020
ISBN 10: 3030619125 ISBN 13: 9783030619121
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Published by Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030619125 ISBN 13: 9783030619121
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Springer International Publishing Dez 2020, 2020
ISBN 10: 3030619125 ISBN 13: 9783030619121
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 108 pp. Englisch.
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Published by Springer International Publishing, 2020
ISBN 10: 3030619125 ISBN 13: 9783030619121
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Showcases how artificial intelligence has been used to support the fight against COVID-19Presents the benefits and limitations of the predictive models implemented during the epidemicAdvises on how these tools may be better used in the futu.