publications by categories in reversed chronological order. generated by jekyll-scholar.
h-index 8 · i10-index 6 · Updated 2026-05-15
† First (or co-first) author · * Corresponding author
Journal Articles
2026
Deep learning models for acute kidney injury prediction: multi-center external validation and evaluation under simulated continuous monitoring conditions
Kyung Hyun Lee†, Donghwee Yoon†, Hyunsun Lim, and 2 more authors
Development of a Transformer-Based Cardiac Arrest Prediction Model for General Ward Patients
Sungsoo Hong†, Yechan Mun†, Kyung Hyun Lee†, and 5 more authors
medRxiv, 2026
Evaluating the Predictive Potential of an AI-Driven Deep Learning Model for Pneumonia-Associated Sepsis
Ki-Byung Lee†, Chang Youl Lee*, Jaewon Jang, and 2 more authors
Journal of Clinical Medicine, 2026
2025
Association between cardiorespiratory fitness and trend of age-related rise in arterial stiffness in individuals with and without hypertension or diabetes
Sae Young Jae†, Kyung Hyun Lee†, Hyun Jeong Kim, and 4 more authors
American journal of hypertension, 2025
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea
Taeyong Sim†, Eun Young Cho†, Ji-Hyun Kim, and 14 more authors
Acute and Critical Care, 2025
Validation of an artificial intelligence-based algorithm for predictive performance and risk stratification of sepsis using real-world data from hospitalised patients: a prospective observational study
Ji-Hyun Kim†, Kyung Hyun Lee†, Kwang Joon Kim, and 11 more authors
BMJ Health & Care Informatics, 2025
Deep learning-based stress detection from RR intervals in major depressive disorder, panic disorder, and healthy individuals
Kyung Hyun Lee†, Chul-Hyun Cho†, Ah Young Kim, and 2 more authors
A novel deep learning algorithm for real-time prediction of clinical deterioration in the emergency department for a multimodal clinical decision support system
Arom Choi†, Kwanhyung Lee†, Heejung Hyun, and 6 more authors
Scientific Reports, 2024
2023
Age prediction in healthy subjects using RR intervals and heart rate variability: A pilot study based on deep learning
Development of Labeling Algorithm for Early Prediction of Acute Kidney Injury
Kyung Hyun Lee†, Sangchul Hahn, Hyunsun Lim, and 2 more authors
In MIE, 2025
2024
Is it Beneficial to Use Different Thresholds Over Time for Early Prediction Model?
Sungsoo Hong†, Hyunwoo Choo, Kyung Hyun Lee, and 3 more authors
In STC, 2024
Relationship between In-Hospital Sepsis Prediction Score and Prevalence of Community-Onset Sepsis: Triage for Sepsis Risk Management
Kyung Hyun Lee†, Hyunwoo Choo, Sungsoo Hong, and 3 more authors
In STC, 2024
Beyond the ROC Curve: Activity Monitoring to Evaluate Deep Learning Models in Clinical Settings
Hyunwoo Choo†, Kyung Hyun Lee, Sungsoo Hong, and 3 more authors
In STC, 2024
2023
Self-Supervised Contrastive Loss for Multimodal Emotion Recognition: Self-Supervision is All You Need
Young Woo Nam†, Kyung Hyun Lee†, Wong Jong Choi, and 1 more author
In Korea Computer Congress, 2023
2022
Development and validation of emotion recognition model using audio and text sequences: two heads are better than one
Young Woo Nam† and Kyung Hyun Lee*
In Korea Computer Congress, 2022
Under Review
Manuscripts currently undergoing peer review.
2026
Development and External Validation of a Transformer-Based Cardiac Arrest Prediction System for General Ward Patients: A Multicenter Study
Sungsoo Hong†, Kyung Hyun Lee†, Yechan Mun†, and 10 more authors
Under review at BMC Medical Informatics and Decision Making, 2026
Transfusion volume and clinical outcomes in critically ill patients: An explainable machine learning analysis
Under review, 2026
Disentangling the metabolic effects of cholelithiasis and cholecystectomy on incident type 2 diabetes: a matched cohort study with machine learning analysis
Under review, 2026
Clinical and pharmacologic determinants of intensive care unit delirium: An explainable machine-learning analysis of a prospective multicenter cohort
Under review, 2026
Machine learning models for early mortality prediction in trauma patients using public data: a nationwide retrospective study
Under review, 2026
Interpretable Machine Learning Model for Predicting Prolonged Mechanical Ventilation among ICU Patients: Development and External Validation in Two Tertiary Hospitals