Author: Wang, Xiaoshu
Title: Application of Big Data and Artificial Intelligence Technology in the Prevention and Control of COVID-19 Epidemic Cord-id: f970pnqc Document date: 2021_1_1
ID: f970pnqc
Snippet: This article analyzes the content related to big data and artificial intelligence technology. The author studied the characteristics of the COVID-19 epidemic, epidemic characteristics, and transmission routes. The author has studied the use of big data and artificial intelligence technologies in genome sequencing and analysis, intelligent medical diagnostic services, vaccine research and development and drug screening, reasonable scheduling of anti-epidemic resources, epidemic monitoring and ear
Document: This article analyzes the content related to big data and artificial intelligence technology. The author studied the characteristics of the COVID-19 epidemic, epidemic characteristics, and transmission routes. The author has studied the use of big data and artificial intelligence technologies in genome sequencing and analysis, intelligent medical diagnostic services, vaccine research and development and drug screening, reasonable scheduling of anti-epidemic resources, epidemic monitoring and early warning analysis, epidemic prevention inspection robots, unmanned delivery models, and epidemic robots Specific application. The purpose of this article is to give full play to the value of big data and artificial intelligence technology to improve the prevention and control of the COVID-19 epidemic.
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