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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507755/ https://www.ncbi.nlm.nih.gov/pubmed/36160183 http://dx.doi.org/10.1155/2022/6474883 |