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Publication | Open Access

Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study

DOIFull Paper Access

94

Citations

30

References

2022

Year

Zheng-gang Fang, Shuqin Yang, Cai-Xia Lv, Shu-Yi An, Wei Wu
BMJ Open

Abstract

The XGBoost model can help improve prediction of COVID-19 cases in the USA over the ARIMA model.

References

YearCitations

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