Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU
Abstract Predicting in-hospital cardiac arrest in patients admitted to an intensive care unit (ICU) allows prompt interventions to improve patient outcomes. We developed and validated a machine learning-based real-time model for in-hospital cardiac arrest predictions using electrocardiogram (ECG)-ba...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Nature Portfolio
2023-11-01
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| Σειρά: | npj Digital Medicine |
| Διαθέσιμο Online: | https://doi.org/10.1038/s41746-023-00960-2 |
| Ετικέτες: |
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