Interpretable machine learning model to predict the acute occurrence of delirium in elderly patients in the intensive care units: a retrospective cohort study
Abstract Background Delirium is a severe complication in critical elderly patients. This study aimed to develop interpretable machine-learning (ML) models to predict acute delirium and identify risk factors for medical intervention in elderly patients in the intensive care unit (ICU). Patients and M...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01107-8 |
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