菲律宾冠状病毒康复率的预测分析

Proceedings of the 2022 5th International Conference on Software Engineering and Information Management Pub Date : 2022-01-21 DOI:10.1145/3520084.3520115

Andrei James Agbuya, Risty Acerado, Roselia Morco, Ricaela Glipo, Alliah Clara Santos

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引用次数: 0

摘要

菲律宾是冠状病毒传播的国家之一。这种病毒几乎感染了每一个菲律宾人;冠状病毒影响从儿童到成人的所有年龄段的人，因此，康复率尚不清楚。本研究旨在建立一个基于随机森林算法的预测模型，以预测不同年龄的采收率高低。根据对数据集的描述性分析，与其他年龄组相比，20 ~ 29岁年龄组的回收率为99.3%。随机森林预测模型预测回收率高，准确率达93%。

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Predictive Analytics for the Coronavirus Recovery Rate in the Philippines

The Philippines is one of the countries where the coronavirus has spread. The virus has infected almost every Filipino individual; coronavirus affects people of all ages, from children to adults, and as a result, recovery rate is unknown. This research aims to develop a predictive model using random forest algorithms to predict the high and low recovery rate by age. Based on the descriptive analysis of the data set, the age range of 20 to 29 has a 99.3 percent recovery rate compared to other age groups. The Random Forest Predictive Model was able to predict the high recovery rate with an accuracy rate of 93%.

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Proceedings of the 2022 5th International Conference on Software Engineering and Information Management

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