Epidemic Analytics for Decision Supports in COVID19 Crisis (PDF)
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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.
Simon James Fong graduated from La Trobe University in Australia, with a First Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor in the Computer and Information Science Department of the University of Macau. He is also one of the founding members of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to joining the University of Macau, he worked as an Assistant Professor in the School of Computer Engineering at Nanyang Technological University in Singapore. Before his academic career, Simon
- 2022, 1st ed. 2022, 158 Seiten, Englisch
- Herausgegeben: Joao Alexandre Lobo Marques, Simon James Fong
- Verlag: Springer International Publishing
- ISBN-10: 3030952819
- ISBN-13: 9783030952815
- Erscheinungsdatum: 20.05.2022
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- Dateiformat: PDF
- Größe: 7.09 MB
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