Predictive Models for Decision Support in the COVID 19 Crisis is popular PDF and ePub book, written by Joao Alexandre Lobo Marques in 2020-11-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Predictive Models for Decision Support in the COVID 19 Crisis can be Read Online from any device for your convenience.
Predictive Models for Decision Support in the COVID 19 Crisis Book PDF Summary
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.
Detail Book of Predictive Models for Decision Support in the COVID 19 Crisis PDF
- Author : Joao Alexandre Lobo Marques
- Release : 30 November 2020
- Publisher : Springer Nature
- ISBN : 9783030619138
- Genre : Technology & Engineering
- Total Page : 103 pages
- Language : English
- PDF File Size : 13,6 Mb
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