Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
Abstract As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. This study compares the performance of 18 machine learning algorithms for predicting ICU admission and mortality among COVID-19 patients. Using COVI...
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| Main Authors: | , , , , , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/05e8f4be9b9244a0bd5e8c0dcae77ba7 |
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