Prediction of Length of Hospital Stay of COVID-19 Patients Using Gradient Boosting Decision Tree
The aim of this paper is to predict the patient hospitalization time with coronavirus disease 2019 (COVID-19). It uses various data mining techniques, such as random forest. Many rules were derived by applying these techniques to the dataset. The extracted rules mainly were related to people over 55...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022-01-01
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| Series: | International Journal of Biomaterials |
| Online Access: | http://dx.doi.org/10.1155/2022/6474883 |