Using shapes of COVID-19 positive patient-specific trajectories for mortality prediction
Machine learning can be used to identify relevant trajectory shape features for improved predictive risk modeling, which can help inform decisions for individualized patient management in intensive care during COVID-19 outbreaks. We present explainable random forests to dynamically predict next day...
| Main Authors: | , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
American Medical Informatics Association
2022
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