A novel model to label delirium in an intensive care unit from clinician actions
Abstract Background In the intensive care unit (ICU), delirium is a common, acute, confusional state associated with high risk for short- and long-term morbidity and mortality. Machine learning (ML) has promise to address research priorities and improve delirium outcomes. However, due to clinical an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-03-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-021-01461-6 |