Predictive Models for Decision Support in the COVID-19 Crisis
Language: English
Published by Springer International Publishing, 2020
Series: Book 121 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- New
Condition: New
£ 49.82
Quantity: Over 20 available
Add to basketItem description from seller
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.
Seller Inventory # 448685874
- Title
- Predictive Models for Decision Support in the COVID-19 Crisis
- Author
- Joao Alexandre Lobo Marques|Francisco Nauber Bernardo Gois|José Xavier-Neto|Simon James Fong
- Publisher
- Springer International Publishing
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030619125
- ISBN 13
- 9783030619121
- Dimensions
- 0.6 x 23.6 x 15.7
- Series
- Book 121 of 472: SpringerBriefs in Applied Sciences and Technology
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
About the Author
Professor Francisco Nauber Bernardo Gois is an adjunct professor at the Federal University of Ceará. He holds a master’s degree and a PhD from the University of Fortaleza, gained in 2010 and 2017 respectively. He has experience in computer science, with emphasis on machine learning and software testing, deep learning, continuous integration, testing and extreme programming.
Dr José Xavier Neto holds a medical degree from Federal University of Ceará and a PhD from the University of São Paulo, which he gained in 1989 and 1993 respectively. He has worked in medical research for decades, including his current role as the Chief Health Scientist of Ceará and a Visiting Professor at the Federal University of Ceará. He has been involved in creating an experimental model for developmental neuropathy induced by the Zika virus, as well as leading a multidisciplinary team which described the first fossilised heart.
Professor Simon James Fong gained his master’s degree and PhD from La Trobe University in 1994 and 1998 respectively. He has worked in several academic positions, including his current role as Associate Professor at the University of Macau. He has been on the committee for several conferences, including acting as chair, and has worked as a book series editor. His research interests include data mining, artificial intelligence, machine learning, and biomedical applications.
"About the title" may belong to another edition of this title.
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