publications

Journal articles, conference papers and abstracts, preprints, and manuscripts under review in clinical AI, digital health, and respiratory medicine.

Total citations: 485 h-index 9 · i10-index 9 · Updated 2026-11-02
†
First author. When two or more authors carry †, they share first authorship (co-first authors).
*
Corresponding author. More than one * marks co-corresponding authors.
†*
Both first and corresponding author.
Tags
The solid tag is the field a paper belongs to (e.g., Acute & Critical Care, Biosignals). Tinted tags are topics, combined when a paper spans more than one: Machine Learning (a model is built or used), Clinical Research (a clinical question or cohort), and Evaluation Framework (how clinical models are evaluated and reported). Grey outlined tags give the format and how a conference paper was presented.
Bold
Kyung Hyun Lee. The icon next to an author list states the markers used in that entry.

Jump to: Journal Articles · Conference Papers · In Progress

Journal Articles

Peer-reviewed articles published in journals.

2026

  1. Acute & Critical Care Machine Learning Clinical Research Evaluation Framework
    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
    npj Digital Medicine, May 2026
    DOI
    2 Google Scholar citations
  2. Acute & Critical Care Machine Learning Clinical Research
    Machine learning models for early mortality prediction in trauma patients using public data: a nationwide retrospective study
    Seung Min Baik, Jae Gil Lee, Hongjin Shim, and 5 more authors
    World Journal of Emergency Surgery, 2026
    DOI
    0 Google Scholar citations
  3. Acute & Critical Care Machine Learning Clinical Research
    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
    DOI
    2 Google Scholar citations

2025

  1. Preventive Medicine Clinical Research
    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
    DOI
    11 Google Scholar citations
  2. Acute & Critical Care Machine Learning Clinical Research
    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
    DOI
    6 Google Scholar citations
  3. Acute & Critical Care Machine Learning Clinical Research
    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
    DOI
    12 Google Scholar citations
  4. Biosignals Machine Learning Clinical Research
    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
    Frontiers in Psychiatry, 2025
    DOI Code
    2 Google Scholar citations

2024

  1. Respiratory Medicine Machine Learning Clinical Research
    Novel artificial intelligence-based technology to diagnose asthma using methacholine challenge tests
    Noeul Kang†, Kyung Hyun Lee†, Sangwon Byun, and 3 more authors
    Allergy, Asthma & Immunology Research, 2024
    DOI Code
    18 Google Scholar citations
  2. Acute & Critical Care Machine Learning Clinical Research
    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
    DOI
    59 Google Scholar citations

2023

  1. Biosignals Machine Learning
    Age prediction in healthy subjects using RR intervals and heart rate variability: A pilot study based on deep learning
    Kyung Hyun Lee† and Sangwon Byun*
    Applied Sciences, 2023
    DOI Code
    8 Google Scholar citations

2022

  1. Preventive Medicine Clinical Research
    Joint associations of obesity and cardiorespiratory fitness with coronary artery calcium composition: IS there evidence for fat-but-fit?
    Sae Young Jae†*, Hyun Jeong Kim, Kyung Hyun Lee, and 4 more authors
    Journal of Cardiopulmonary Rehabilitation and Prevention, 2022
    DOI
    5 Google Scholar citations
  2. Biosignals Machine Learning
    Electromyogram-based classification of hand and finger gestures using artificial neural networks
    Kyung Hyun Lee†, Ji Young Min†, and Sangwon Byun*
    Sensors, 2022
    DOI Code
    180 Google Scholar citations
  3. Health AI Policy Clinical Research
    Stakeholders’ Requirements for Artificial Intelligence for Healthcare in Korea
    Jae Yong Yu†, Sungjun Hong†, Yeong Chan Lee, and 7 more authors
    Healthcare Informatics Research, 2022
    DOI
    6 Google Scholar citations
  4. Preventive Medicine Clinical Research
    Separate and joint associations of cardiorespiratory fitness and healthy vascular aging with subclinical atherosclerosis in men
    Sae Young Jae†, Kyung Hyun Lee†, Hyun Jeong Kim, and 5 more authors
    Hypertension, 2022
    DOI
    10 Google Scholar citations
  5. Preventive Medicine Clinical Research
    Nonalcoholic fatty liver disease and accelerated loss of skeletal muscle mass: A longitudinal cohort study
    Dong Hyun Sinn†, Danbee Kang†, Mira Kang†, and 6 more authors
    Hepatology, 2022
    DOI
    73 Google Scholar citations
  6. Acute & Critical Care Machine Learning Clinical Research
    Multi-center validation of machine learning model for preoperative prediction of postoperative mortality
    Seung Wook Lee†, Hyung-Chul Lee, Jungyo Suh, and 6 more authors
    NPJ digital medicine, 2022
    DOI
    63 Google Scholar citations
  7. Preventive Medicine Clinical Research
    Gender-specific relationship between thigh muscle and fat mass and brain amyloid-β positivity
    Sung Hoon Kang†, Kyung Hyun Lee, Yoosoo Chang, and 9 more authors
    Alzheimer’s Research & Therapy, 2022
    DOI
    18 Google Scholar citations

2021

  1. Preventive Medicine Clinical Research
    The relationship between breast density change during menopause and the risk of breast cancer in Korean women
    Danbee Kang†, Ji-Yeon Kim†, Ji-Young Kim, and 21 more authors
    Cancer Prevention Research, 2021
    DOI
    8 Google Scholar citations

Conference Papers

Proceedings papers, workshop papers (non-archival), and accepted abstracts, each marked with how it was presented.

2026

  1. Acute & Critical Care Machine Learning Evaluation Framework Workshop Paper Poster
    Median alert lead time tracks how long patients were observed, and runs opposite to specificity
    Kyung Hyun Lee†*, Donghwee Yoon, Sunguk Jang, and 5 more authors
    In NeurIPS 2026 Workshop on Responsible Communication of Machine Learning Research in Biomedicine (RCMLR), 2026
    HTML PDF Website
  2. Respiratory Medicine Machine Learning Clinical Research Abstract Poster
    Reading screening spirometry as a trajectory predicts incident airflow obstruction earlier: a landmark deep-learning analysis of 221,903 adults
    Kyung Hyun Lee†, Dayoon Lee, Jin Young Lee, and 1 more author
    ERS International Congress, 2026
    Blog Poster
  3. Acute & Critical Care Machine Learning Clinical Research Evaluation Framework Abstract Oral Poster
    Online Simulation Versus Single-Point Evaluation for AKI Prediction: Identifying Optimal Prediction Horizons for Continuous Monitoring
    Kyung Hyun Lee†, Donghwee Yoon, Hyunsun Lim, and 2 more authors
    AKI & CRRT 2026: International Conference on Advances in Critical Care Nephrology, 2026
    Blog Poster
  4. Acute & Critical Care Machine Learning Clinical Research Abstract Oral Poster
    Leveraging Nursing Notes with Large Language Model Embeddings for Acute Kidney Injury Prediction
    Donghwee Yoon†, Kyung Hyun Lee, Hyunsun Lim, and 2 more authors
    AKI & CRRT 2026: International Conference on Advances in Critical Care Nephrology, 2026
    Blog Poster

2025

  1. Acute & Critical Care Machine Learning Evaluation Framework Paper Poster
    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
    DOI
    1 Google Scholar citations

2024

  1. Acute & Critical Care Machine Learning Evaluation Framework Paper Oral Poster
    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
    0 Google Scholar citations
  2. Acute & Critical Care Machine Learning Clinical Research Paper Oral Poster
    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
    0 Google Scholar citations
  3. Acute & Critical Care Machine Learning Evaluation Framework Paper Oral Poster
    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
    1 Google Scholar citations

2023

  1. Affective Computing Machine Learning Paper Poster
    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
    0 Google Scholar citations

2022

  1. Affective Computing Machine Learning Paper Oral
    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
    0 Google Scholar citations

In Progress

Preprints and manuscripts under review. Neither has completed peer review; they are listed only to show ongoing work.

  1. Acute & Critical Care Machine Learning Clinical Research Preprint
    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
    DOI
    0 Google Scholar citations
  2. Acute & Critical Care Machine Learning Clinical Research Preprint
    Enhancing Clinical Decision-Making in Rapid Response Systems: Integrating AI-Based Predictions and Early Pattern Clustering
    Hyunsun Lim, Kyung Hyun Lee, Jung Hwa Hong, and 1 more author
    Research Square, 2025
    DOI
    0 Google Scholar citations
  1. Acute & Critical Care Machine Learning Clinical Research Evaluation Framework Under Review
    Clinical faithfulness in minute-level monitoring: no single metric ranks a continuously read intraoperative hypotension model
    Kyung Hyun Lee†, Byung-Jae Lee, Sangwon Byun, and 6 more authors
    Under review at Journal of the American Medical Informatics Association, 2026
  2. Acute & Critical Care Machine Learning Clinical Research Under Review
    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
  3. Acute & Critical Care Machine Learning Clinical Research Under Review
    Transfusion volume and clinical outcomes in critically ill patients: An explainable machine learning analysis
    Under review, 2026
  4. Preventive Medicine Machine Learning Clinical Research
    Differentiating Independent Associations of Cholelithiasis and Cholecystectomy with Incident Type 2 Diabetes: A Matched Cohort Study Using Machine Learning Models
    Naru Kim†, Minho Kim, Kyunguk Jung, and 2 more authors
    Under revision at Scientific Reports, 2026
  5. Acute & Critical Care Machine Learning Clinical Research Under Review
    Clinical and pharmacologic determinants of intensive care unit delirium: An explainable machine-learning analysis of a prospective multicenter cohort
    Under review, 2026
  6. Acute & Critical Care Machine Learning Clinical Research Under Review
    Interpretable machine learning model for predicting prolonged mechanical ventilation among ICU patients: development and site-stratified validation in a two-center cohort
    Seung Min Baik*, Heejung Yi, Kyung Sook Hong, and 6 more authors
    Under review at Journal of Critical Care, 2026