利用机器学习技术建立COVID-19传播时间和死亡率模型

Ahmad Arrabi, Amjed Al-mousa
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Modelling of COVID-19 spread time and mortality rate using machine learning techniques
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来源期刊
CiteScore
2.90
自引率
0.00%
发文量
21
期刊介绍: Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences. IJIIDS provides a medium for exchanging scientific research and technological achievements accomplished by the international community. It focuses on research in applications of advanced intelligent technologies for data storing and processing in a wide-ranging context. The issues addressed by IJIIDS involve solutions of real-life problems, in which it is necessary to apply intelligent technologies for achieving effective results. The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.
期刊最新文献
Development of Wearable Embedded Hybrid Powered Energy Sources for Mobile Phone Charging System Applying the Self-Organizing Map in the Classification of 195 Countries Using 32 Attributes Artificial Intelligence Chatbot Advisory System Intelligent Information and Database Systems: 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part I Modelling of COVID-19 spread time and mortality rate using machine learning techniques
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