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...

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Bibliografiske detaljer

Principais autores:	Hyeonhoon Lee, Hyun-Lim Yang, Ho Geol Ryu, Chul-Woo Jung, Youn Joung Cho, Soo Bin Yoon, Hyun-Kyu Yoon, Hyung-Chul Lee
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2023-11-01
Serier:	npj Digital Medicine
Online adgang:	https://doi.org/10.1038/s41746-023-00960-2
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