Bongjin Lee

Seoul National University Hospital

South Korea

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Research Interests

Pediatric Nursing

100%

Anesthesiology

30%

Pediatric

100%

Pediatric Critical Care

70%

Machine Learning In Healthcare

50%

Critical Care Medicine

40%

Pediatric Anesthesia

30%

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Articles25

Pediatric septic shock estimation using deep learning and electronic medical records

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Year:

2024

Cardiac tamponade with chylopericardium in a 6-year-old boy with central venous catheter: a case report

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Year:

2024

Two cases of extracorporeal membrane oxygenation for ventilator-dependent infants with bronchopulmonary dysplasia and pulmonary hypertension

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Year:

2024

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

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Year:

2024

Pediatric Extracorporeal Membrane Oxygenation in Korea: A Multicenter Retrospective Study on Utilization and Outcomes Spanning Over a Decade

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Year:

2024

Development of a model to predict vancomycin serum concentration during continuous infusion of vancomycin in critically ill pediatric patients.

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2024

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

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2024

Development of a deep learning model that predicts critical events of pediatric patients admitted to general wards.

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2024

Cuffless Blood Pressure Estimation Model Using Clustering Techniques

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2024

Pediatric extracorporeal cardiopulmonary resuscitation: a multicenter retrospective study over a decade

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2024

Building the pediatric targeted temperature management registry: initial experiences and insights

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2024

Pediatric cardiac extracorporeal membrane oxygenation: outcomes and risk factors from a multicenter study

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Year:

2024

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

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2024

Streamlining pediatric vital sign assessment: innovations and insights

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Year:

2024

Effect of Diurnal Variation of Heart Rate and Respiratory Rate on Activation of Rapid Response System and Clinical Outcome in Hospitalized Children

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Year:

2023

Eleven years of experience in operating a pediatric rapid response system at a children’s hospital in South Korea

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Year:

2023

Prevention of Tracheo-Innominate Artery Fistula Formation as a Complication of Tracheostomy: Two Case Reports

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Year:

2022

Pediatric triage modifications based on vital signs: a nationwide study

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2022

Clinical implications of discrepancies in predicting pediatric mortality between Pediatric Index of Mortality 3 and Pediatric Logistic Organ Dysfunction-2

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Year:

2022

Development and validation of machine learning-driven prediction model for serious bacterial infection among febrile children in emergency departments

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2022

Machine learning-based prediction of critical illness in children visiting the emergency department.

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2022

Unexpected Aggravation of COVID-19 After Recovery in Three Adolescents With Chronic Neurologic Conditions: A Case Series

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2022

Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission

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Year:

2021

Role of the urinary N-acetyl-beta-D-glucosaminidase/creatinine (NAG/Cr) ratio in discriminating between true and false pyuria in sterile urine bag specimens

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Year:

2021

A clinical prediction tool to predict urinary tract infection in pediatric febrile patients younger than 2 years old: a retrospective analysis of a fever registry

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Year:

2021

Collaborators11

Eui Jun Lee

Seoul National University Hospital

SOUTH KOREA

Jungsun Kim

Kangnam University

SOUTH KOREA

Hye Won Kwon

Assistant Professor

Seoul National University Hospital

SOUTH KOREA

Beom Joon Kim

The Catholic University of Korea

SOUTH KOREA

June Dong Park

Professor

Seoul National University College of Medicine

SOUTH KOREA

Jae Yoon Na

Hanyang University College of Medicine

SOUTH KOREA

Hee Joung Choi

Keimyung University School of Medicine

SOUTH KOREA

Young Ho Kwak

Professor

Seoul National University Hospital

SOUTH KOREA

Ha Ni Lee

Seoul National University Hospital

SOUTH KOREA

jinhee kim

Seoul National University Hospital

SOUTH KOREA

JIN HEE LEE

Professor

Seoul National University Hospital

SOUTH KOREA

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