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...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Hyeonhoon Lee, Hyun-Lim Yang, Ho Geol Ryu, Chul-Woo Jung, Youn Joung Cho, Soo Bin Yoon, Hyun-Kyu Yoon, Hyung-Chul Lee
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	Nature Portfolio 2023-11-01
श्रृंखला:	npj Digital Medicine
ऑनलाइन पहुंच:	https://doi.org/10.1038/s41746-023-00960-2
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