基于线性回归模型的新型冠状病毒流行预测

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI:10.1145/3429889.3429890

Ziye Hong

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引用次数: 1

摘要

线性回归模型是一种有用的预测工具。本文采用线性回归模型对2019年新型冠状病毒(2019- ncov)疫情死亡人数进行分析和预测。此外，提出了一种改进的线性回归方法，以获得更准确的流行病预测模型。在本文中，作者使用一个参数来预测数据。因此，在进一步的研究中，将会加入更多的因素来进行更准确的预测。

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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Prediction of 2019-nCoV Epidemic by Linear Regression Model

The Linear Regression Model is a useful prediction tool. In this paper, a linear regression model was used to analyze and predict the death toll of the novel corona virus (2019-nCov) outbreaks in 2019. Besides, an improved linear regression method was proposed to obtain a more accurate epidemic prediction model. In this paper, the author used one parameter to predict the data. Therefore, in the further research, more factors will be added to conduct a more accurate prediction.

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Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences

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