Bongjin J. Lee

Seoul, Republic of Korea

Last Updated: 09/26/2026

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Found 43 publications

Trends and Interhospital Variability of NICU Bloodstream Infections in Korea.

Trends and Interhospital Variability of NICU Bloodstream Infections in Korea.

Journal: JAMA network open

Published: August 07, 2026

From scores to signals: evolution and innovations in pediatric early warning systems.

From scores to signals: evolution and innovations in pediatric early warning systems.

Journal: Acute and critical care

Published: September 23, 2025

End-of-Life Care Patterns by Disease Trajectory in Pediatric Intensive Care Units: A Multicenter Study.

End-of-Life Care Patterns by Disease Trajectory in Pediatric Intensive Care Units: A Multicenter Study.

Journal: Pediatrics international : official journal of the Japan Pediatric Society

Published: August 20, 2025

Dose response of nafamostat mesylate for anticoagulation monitoring in pediatric critical care during continuous venovenous hemodiafiltration.

Dose response of nafamostat mesylate for anticoagulation monitoring in pediatric critical care during continuous venovenous hemodiafiltration.

Journal: Scientific reports

Published: May 10, 2025

Retraction: A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea.

Retraction: A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea.

Journal: Acute and critical care

Published: February 06, 2025

A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea.

A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea.

Journal: Acute and critical care

Published: October 27, 2024

Correction: Individualized estimation of arterial carbon dioxide partial pressure using machine learning in children receiving mechanical ventilation.

Correction: Individualized estimation of arterial carbon dioxide partial pressure using machine learning in children receiving mechanical ventilation.

Journal: BMC pediatrics

Published: April 25, 2024

Streamlining pediatric vital sign assessment: innovations and insights.

Streamlining pediatric vital sign assessment: innovations and insights.

Journal: Scientific reports

Published: March 27, 2024

Corrigendum to: Development of a deep learning model for predicting critical events in a pediatric intensive care unit.

Corrigendum to: Development of a deep learning model for predicting critical events in a pediatric intensive care unit.

Journal: Acute and critical care

Published: March 15, 2024

Pediatric septic shock estimation using deep learning and electronic medical records.

Pediatric septic shock estimation using deep learning and electronic medical records.

Journal: Acute and critical care

Published: January 05, 2024

Individualized estimation of arterial carbon dioxide partial pressure using machine learning in children receiving mechanical ventilation.

Individualized estimation of arterial carbon dioxide partial pressure using machine learning in children receiving mechanical ventilation.

Journal: BMC pediatrics

Published: December 15, 2023

Development of a deep learning model for predicting critical events in a pediatric intensive care unit.

Development of a deep learning model for predicting critical events in a pediatric intensive care unit.

Journal: Acute and critical care

Published: November 03, 2023

Showing 1-12 of 43

Last Updated: 09/26/2026