Systematic Survey on Big Data Analytics and Artificial Intelligence for COVID-19 Containment  

作　　者：Saeed M.Alshahrani Jameel Almalki Waleed Alshehri Rashid Mehmood Marwan Albahar Najlaa Jannah Nayyar Ahmed Khan 

机构地区：[1]Department of Computer Science,College Computing and Information Technology,Shaqra University,Shaqra,Saudi Arabia [2]Department of Computer Science,College of Computer in Al-Lith,Umm Al-Qura University,Makkah,Saudi Arabia [3]High-Performance Computing Center,King Abdulaziz University,Jeddah,Saudi Arabia

出　　处：《Computer Systems Science & Engineering》2023年第11期1793-1817,共25页计算机系统科学与工程（英文）

摘　　要：Artificial Intelligence(AI)has gained popularity for the containment of COVID-19 pandemic applications.Several AI techniques provide efficient mechanisms for handling pandemic situations.AI methods,protocols,data sets,and various validation mechanisms empower the users towards proper decision-making and procedures to handle the situation.Despite so many tools,there still exist conditions in which AI must go a long way.To increase the adaptability and potential of these techniques,a combination of AI and Bigdata is currently gaining popularity.This paper surveys and analyzes the methods within the various computational paradigms used by different researchers and national governments,such as China and South Korea,to fight against this pandemic.The process of vaccine development requires multiple medical experiments.This process requires analyzing datasets from different parts of the world.Deep learning and the Internet of Things(IoT)revolutionized the field of disease diagnosis and disease prediction.The accurate observations from different datasets across the world empowered the process of drug development and drug repurposing.To overcome the issues generated by the pandemic,using such sophisticated computing paradigms such as AI,Machine Learning(ML),deep learning,Robotics and Bigdata is essential.

关 键 词：COVID-19 IoT artificial intelligence big data CORONAVIRUS deep learning ROBOTICS machine learning 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP18[自动化与计算机技术—计算机科学与技术] R563.1[医药卫生—呼吸系统]