Intelligent Internet of Things and Advanced Machine Learning Techniques for COVID-19

EAI Endorsed Transactions on Pervasive Health and Technology

Arij Abougreen¹  Chinmay Chakraborty² 

[1] Communication Engineering, Birla Institute of Technology, Mesra, Jharkhand, India;;Electronics &

关键词: machine learning;    coronavirus;    artificial intelligence;    internet of things;   

DOI  :  10.4108/eai.28-1-2021.168505

来源: DOAJ

【 摘 要 】

INTRODUCTION: Coronavirusdisease(COVID-19)hasrecentlyemergedaroundtheworld.Thebeginningofthedisease was in the Chinese city of Wuhan and then it has been spread and became a global epidemic. An early diagnosis of COVID-19 disease is absolutely necessary to control the epidemic. OBJECTIVES: Theaimofthispaperistopresentareviewofthecontributionofmachinelearning(ML)andIoTtoconfront the epidemic.METHODS: Diagnosis using real-time reverse transcriptase-polymerase chain reaction (RT-PCR)isa definite diagnosis, but this method takes time, while a diagnosis using a computed tomography (CT) scan is a faster approach to diagnosis. However, a large number of patients need a CT scan, which puts a lot of pressure on the radiologist so visual fatigue may lead to diagnostic errors so there is an urgent need for additional solutions. Artificial intelligence (AI) is an efficient tool to combat COVID-19 disease. Computer scientists have been developing many systems to handle this epidemic.RESULTS: It was found that ML is an efficient and powerful AI technology that can be used for trustworthy COVID-19 detectinganddiagnosisfromX-rayandCTimagesanditcanbeapotentialmethodfordiagnosisintheradiologydepartment.Inaddition,MLcanbeusedinsegmentation,predictionpurposesforCOVID-19.Furthermore,MLcaneffectively support drug discovery procedure and can reduce clinical failures. CONCLUSION: IoT has a significant role in monitoring an individual's health and COVID-19 diagnosis. This paper also highlights the challenges of employing ML and intelligent IoT for fighting COVID-19.

【 授权许可】

Unknown