基于机器学习的新疆新冠肺炎疫情分析与预测

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) Pub Date : 2020-11-01 DOI:10.1109/ISCTT51595.2020.00072

Y. Liu, Yan Xiao

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引用次数: 5

摘要

新冠肺炎疫情席卷全球，严重影响了世界各国人民的生活。中国是抗疫大国。为防治新冠肺炎疫情提供了丰富宝贵经验。本研究以新疆7月新冠肺炎疫情为研究对象，基于新疆卫生健康委员会公布的数据，采用数学建模方法，在有限数据条件下，通过机器学习多项式回归，对新疆近期疫情确诊人数趋势进行合理预测和分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis and Prediction of COVID-19 in Xinjiang Based on Machine Learning

Covid-19 has taken the world by storm, dramatically affecting the lives of people around the world. China is a major country in the fight against the epidemic. It has provided the world with a wealth of valuable experience in the prevention and treatment of COVID-19.Based on the data released by Xinjiang Health Commission, this study used mathematical modeling method to reasonably predict and analyze the trend of the number of coVID-19 confirmed in the recent outbreak in Xinjiang through machine learning polynomial regression under limited data conditions, aiming at the coVID-19 outbreak in Xinjiang in July.

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来源期刊

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)

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