Area of research
Cardiology and Cardiovascular Medicine · Biomedical Engineering
Research interest
Research interests include Non-Invasive Vital Sign Monitoring, Heart Rate Variability and Autonomic Control, ECG Monitoring and Analysis, and Indoor and Outdoor Localization Technologies.
Machine Learning-Based Prediction Model for Infectious Complications in Trauma and Its Association With In-Hospital Mortality.
Prehospital real-time AI for trauma mortality prediction: a multi-institutional and multi-national validation study.
AI for wireless communications and healthcare research at Kyung Hee University
Live zoster vaccination and cardiovascular outcomes: a nationwide, South Korean study.
Burden of Cardiovascular Outcomes After SARS-CoV-2 Infection in South Korea and Japan: A Binational Population-Based Cohort Study.
External validation of an artificial intelligence model using clinical variables, including ICD-10 codes, for predicting in-hospital mortality among trauma patients: a multicenter retrospective cohort study.
Cooperative PPG/ECG Wearable System for Atrial Fibrillation Diagnosis
Live Zoster Vaccination and the Reduced Risk of Chronic Respiratory Diseases: An Emulated Target Trial
Global, Regional, and National Trends in Maternal Mortality Ratio Across 37 High Income Countries From 1990 to 2021, With Projections up to 2050: A Comprehensive Analysis From the WHO Mortality Database.
Weighted Iterative Complex Demodulation for High-Resolution Instantaneous Frequencies in Low-Frequency PPG Signals From Wearable Devices.
Artificial intelligence models for predicting pulmonary complications in patients with chest trauma: a retrospective study.
Potential gut-brain axis-targeted therapies for autism spectrum disorder in children: opportunities and challenges.
Temporal trends in acute kidney injury-related mortality across 43 countries, 1996-2021, with projections up to 2050: a global time series analysis and modelling study.
Global, regional, and national burden of hypertensive heart disease in 1990-2021, with forecasts to 2050: a Global Burden of Disease Study 2021.
Short- and long-term neuropsychiatric outcomes in long COVID in South Korea and Japan
Incident allergic diseases in post-COVID-19 condition: multinational cohort studies from South Korea, Japan and the UK.
Short- and long-term neuropsychiatric outcomes in long COVID in South Korea and Japan.
Long-Term Autoimmune Inflammatory Rheumatic Outcomes of COVID-19 : A Binational Cohort Study.
Machine Learning-Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts.
Global, Regional, and National Trends in Liver Disease-Related Mortality Across 112 Countries From 1990 to 2021, With Projections to 2050: Comprehensive Analysis of the WHO Mortality Database
Machine Learning-Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan.
Narrative Review of Free Radicals and Reactive Oxygen Species in Otitis Media.
Sex-Specific Trends in the Prevalence of Osteoarthritis and Rheumatoid Arthritis From 2005 to 2021 in South Korea: Nationwide Cross-Sectional Study.
Induction of Nitric Oxide and Its Role in Facial Nerve Regeneration According to the Method of Facial Nerve Injury.
Roles of SMAD and SMAD-Associated Signaling Pathways in Nerve Regeneration Following Peripheral Nerve Injury: A Narrative Literature Review.
Limitations of the Cough Sound-Based COVID-19 Diagnosis Artificial Intelligence Model and its Future Direction: Longitudinal Observation Study.
National and Regional Trends in the Prevalence of Hypertension in South Korea Amid the Pandemic, 2009-2022: Nationwide Study of Over 3 Million Individuals.
Machine-learning prediction of kidney failure occurrence based on
regular health check-up data: a nationwide cohort dataset in South
Korea
Sex-Specific Trends in the Prevalence of Osteoarthritis and Rheumatoid Arthritis From 2005 to 2021 in South Korea: Nationwide Cross-Sectional Study (Preprint)
Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry.