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Children (Basel, Switzerland)
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August 28, 2025
Neonatal Jaundice Requiring Phototherapy Risk Factors in a Newborn Nursery: Machine Learning Approach
Yunjin Choi, Sunyoung Park, Hyungbok Lee
Nursing Open
|
December 28, 2022
Factors affecting the length of stay in the emergency department for critically Ill patients transferred to regional emergency medical center
Hyungbok Lee, Sangrim Lee, Hyeoneui Kim
Studies in Health Technology and Informatics
|
August 8, 2025
Predicting Postoperative Delirium in Orthopedic Surgery Using Explainable Artificial Intelligence
Yunjin Choi, Eun Mi Kim, Hyungbok Lee
Studies in Health Technology and Informatics
|
August 8, 2025
Analysis of Factors Affecting Postoperative Delirium in General Surgery: Applying Machine Learning
Mijeong Park, Eun Mi Kim, Hyungbok Lee
Heliyon
|
May 26, 2023
Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review
Jinsun Jung, Hyungbok Lee, Hyunggu Jung, et al.
Journal of Emergency Nursing
|
March 16, 2023
Predicting Workplace Violence in the Emergency Department Based on Electronic Health Record Data
Hyungbok Lee, Heeje Yun, Minjin Choi, et al.
BMC Medical Informatics and Decision Making
|
May 30, 2024
Exploring the tradeoff between data privacy and utility with a clinical data analysis use case
Eunyoung Im, Hyeoneui Kim, Hyungbok Lee, et al.
International Journal of Medical Informatics
|
May 3, 2025
Evaluating the impact of explainable AI on clinicians' decision-making: A study on ICU length of stay prediction
Jinsun Jung, Sunghoon Kang, Jeeyae Choi, et al.
Computers, Informatics, Nursing : CIN
|
February 2, 2026
Risk Factors for Postoperative Delirium in Nonintensive Care Unit Patients: Machine Learning Approach
Hyungbok Lee, Taesa Ahn, Sohyeon Park, et al.
Journal of Emergency Nursing
|
February 13, 2022
Multimodal Quality Improvement Intervention With Dedicated Patient Flow Manager to Reduce Emergency Department Length of Stay and Occupancy: Interrupted Time Series Analysis
Sang Rim Lee, Sang Do Shin, Young Sun Ro, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Children (Basel, Switzerland)
|
August 28, 2025
Neonatal Jaundice Requiring Phototherapy Risk Factors in a Newborn Nursery: Machine Learning Approach
Yunjin Choi, Sunyoung Park, Hyungbok Lee
Nursing Open
|
December 28, 2022
Factors affecting the length of stay in the emergency department for critically Ill patients transferred to regional emergency medical center
Hyungbok Lee, Sangrim Lee, Hyeoneui Kim
Studies in Health Technology and Informatics
|
August 8, 2025
Predicting Postoperative Delirium in Orthopedic Surgery Using Explainable Artificial Intelligence
Yunjin Choi, Eun Mi Kim, Hyungbok Lee
Studies in Health Technology and Informatics
|
August 8, 2025
Analysis of Factors Affecting Postoperative Delirium in General Surgery: Applying Machine Learning
Mijeong Park, Eun Mi Kim, Hyungbok Lee
Heliyon
|
May 26, 2023
Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review
Jinsun Jung, Hyungbok Lee, Hyunggu Jung, et al.
Journal of Emergency Nursing
|
March 16, 2023
Predicting Workplace Violence in the Emergency Department Based on Electronic Health Record Data
Hyungbok Lee, Heeje Yun, Minjin Choi, et al.
BMC Medical Informatics and Decision Making
|
May 30, 2024
Exploring the tradeoff between data privacy and utility with a clinical data analysis use case
Eunyoung Im, Hyeoneui Kim, Hyungbok Lee, et al.
International Journal of Medical Informatics
|
May 3, 2025
Evaluating the impact of explainable AI on clinicians' decision-making: A study on ICU length of stay prediction
Jinsun Jung, Sunghoon Kang, Jeeyae Choi, et al.
Computers, Informatics, Nursing : CIN
|
February 2, 2026
Risk Factors for Postoperative Delirium in Nonintensive Care Unit Patients: Machine Learning Approach
Hyungbok Lee, Taesa Ahn, Sohyeon Park, et al.
Journal of Emergency Nursing
|
February 13, 2022
Multimodal Quality Improvement Intervention With Dedicated Patient Flow Manager to Reduce Emergency Department Length of Stay and Occupancy: Interrupted Time Series Analysis
Sang Rim Lee, Sang Do Shin, Young Sun Ro, et al.
Page
of 2