Prediction of Blood Glucose Concentration Based on OptiScanner and XGBoost in ICU

Hyperglycemia, a stress-induced physiological condition, is associated with severe complications, including sepsis, multiple organ failure, and higher mortality rates. The seminal 2001 Leuven study highlighted the potential for strict blood glucose control (80-110 mg/dL) to lower mortality rates by...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Lin, Chun-han, Liu, Chien-Liang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blood Blood Glucose Monitoring Functional groups Glucose Hyperglycemia Infrared spectra Infrared Spectrum Intensive Care LASSO Model Machine Learning Medical technology Monitoring Mortality OptiScanner Plasmas Prediction algorithms Predictive models SHAP Spectroscopy Telemedicine XGBoost
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