Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU
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…
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