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...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2023-11-01
|
| Seri Bilgileri: | npj Digital Medicine |
| Online Erişim: | https://doi.org/10.1038/s41746-023-00960-2 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|