Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods
Abstract Background Coronavirus disease (COVID-19) presents an unprecedented threat to global health worldwide. Accurately predicting the mortality risk among the infected individuals is crucial for prioritizing medical care and mitigating the healthcare system’s burden. The present study aimed to a...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
BMC
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/e95c431b7b8c4736b3daa26d7bd17fa1 |
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