Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study
Objective The COVID-19 outbreak was first reported in Wuhan, China, and has been acknowledged as a pandemic due to its rapid spread worldwide. Predicting the trend of COVID-19 is of great significance for its prevention. A comparison between the autoregressive integrated moving average (ARIMA) model...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2022-07-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/7/e056685.full |
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