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Yesul Bae

Sungkyunkwan University · Medicine

About the Lab

Professor Yesul Bae's research lab specializes in digital health innovation, focusing on leveraging information and communications technology (ICT), artificial intelligence, and blockchain to enhance healthcare delivery and patient outcomes. The lab develops intelligent systems for remote patient monitoring, digital health literacy assessment, and mental health prediction using natural language processing. It also explores the integration of electronic health records with advanced data analytics to support precision medicine and health information exchange with strong privacy safeguards.

digital healthmental health predictionelectronic health recordsblockchain healthnatural language processing

Research Overview

Papers
46
Total Citations
474
Papers (5y)
27
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
27total
2022
2023
2024
2025
2026
Citations per year (5y)
160total
20222023202420252026

Selected Papers

15
1
Article|63 citations·2016
Association between bone mineral density and nonalcoholic fatty liver disease in Korean adults
Seung‐Hoon Lee, Jae Moon Yun, Sang Hyuck Kim, Young‐Gyun Seo, Hye Yeon Min, Eun Kyoung Chung, Ye Seul Bae, Insun Ryou, B. Cho
SJR Q1Journal of Endocrinological Investigation
EpidemiologyMedicine
2
Article|60 citations·2020
Information Technology–Based Management of Clinically Healthy COVID-19 Patients: Lessons From a Living and Treatment Support Center Operated by Seoul National University Hospital
Ye Seul Bae, Kyung Hwan Kim, Sae Won Choi, Taehoon Ko, Chang Wook Jeong, Belong Cho, Min Sun Kim, EunKyo Kang
SJR Q1Journal of Medical Internet ResearchOA

BACKGROUND: South Korea took preemptive action against coronavirus disease (COVID-19) by implementing extensive testing, thorough epidemiological investigation, strict social distancing, and rapid treatment of patients according to disease severity. The Korean government entrusted large-scale hospitals with the operation of living and treatment support centers (LTSCs) for the management for clinically healthy COVID-19 patients. OBJECTIVE: The aim of this paper is to introduce our experience impl

Public Health, Environmental and Occupational HealthMedicine
3
Article|58 citations·2020
Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples
Jooyoung Chang, Jinho Lee, Ahnul Ha, Young Soo Han, Eunoo Bak, Seulggie Choi, Jae Moon Yun, Ук Канг, Il Hyung Shin, Joo Young Shin, Taehoon Ko, Ye Seul Bae
SJR Q1OphthalmologyOA
Radiology, Nuclear Medicine and ImagingMedicine
4
Article|35 citations·2022
Detection of Depression and Suicide Risk Based on Text From Clinical Interviews Using Machine Learning: Possibility of a New Objective Diagnostic Marker
Daun Shin, Kyungdo Kim, Seung-Bo Lee, Chang-Woo Lee, Ye Seul Bae, Won Ik Cho, Min Ji Kim, C. Hyung Keun Park, Eui Kyu Chie, Nam Soo Kim, Yong Min Ahn
SJR Q1Frontiers in PsychiatryOA

Background Depression and suicide are critical social problems worldwide, but tools to objectively diagnose them are lacking. Therefore, this study aimed to diagnose depression through machine learning and determine whether it is possible to identify groups at high risk of suicide through words spoken by the participants in a semi-structured interview. Methods A total of 83 healthy and 83 depressed patients were recruited. All participants were recorded during the Mini-International Neuropsychia

Social PsychologyPsychology
5
Article|23 citations·2025
Measuring Digital Health Literacy in Older Adults: Development and Validation Study
S. I. Kim, Choonghee Park, Sunghyeon Park, Dai‐Jin Kim, Ye Seul Bae, Jae‐Heon Kang, Ji‐Won Chun
SJR Q1Journal of Medical Internet ResearchOA

BACKGROUND: New health care services such as smart health care and digital therapeutics have greatly expanded. To effectively use these services, digital health literacy skills, involving the use of digital devices to explore and understand health information, are important. Older adults, requiring consistent health management highlight the need for enhanced digital health literacy skills. To address this issue, it is imperative to develop methods to assess older adults' digital health literacy

General Health ProfessionsHealth Professions
6
Article|21 citations·2019
Association of Concurrent Changes in Metabolic Health and Weight on Cardiovascular Disease Risk: A Nationally Representative Cohort Study
Ye Seul Bae, Seulggie Choi, Kiheon Lee, Joung Sik Son, Hyejin Lee, Mi Hee Cho, Hye Yeon Koo, In Young Cho, Jooyoung Chang, Kyuwoong Kim, Sung Min Kim, Sang Min Park
SJR Q1Journal of the American Heart AssociationOA

Background The combined effect of transitions of metabolic health and weight on cardiovascular disease (CVD) remains unclear. We aimed to examine the association of concurrent changes of metabolic health and weight on CVD over time. Methods and Results The study population consisted of 205 394 from the Korean National Health Insurance Service. Metabolic health was determined by fasting serum glucose, total cholesterol, and blood pressure levels, while obesity was determined by body mass index. A

PhysiologyMedicine
7
Article|17 citations·2022
Development of Blockchain-Based Health Information Exchange Platform Using HL7 FHIR Standards: Usability Test
Ye Seul Bae, Yujin Park, Seung Min Lee, Hee Hwa Seo, Hyeonji Lee, Taehoon Ko, Eunsol Lee, Sang Min Park, Hyung‐Jin Yoon
SJR Q1IEEE AccessOA

Health information exchange can improve health outcomes and reduce unnecessary medical expenses. An important task in health information exchange is to prove data integrity and strengthen the right to self-determination of individuals. This can be addressed using blockchain technology and dynamic consents. We aimed to develop a blockchain-based mobile platform called HealthPocket to exchange reliable health information with proven integrity through a dynamic consent system based on the HL7 FHIR

General Health ProfessionsHealth Professions
8
Article|16 citations·2021
Keyword Extraction Algorithm for Classifying Smoking Status from Unstructured Bilingual Electronic Health Records Based on Natural Language Processing
Ye Seul Bae, Kyung Hwan Kim, Han Kyul Kim, Sae Won Choi, Taehoon Ko, Hee Hwa Seo, Hae‐Young Lee, Hyojin Jeon
SJR Q2Applied SciencesOA

Smoking is an important variable for clinical research, but there are few studies regarding automatic obtainment of smoking classification from unstructured bilingual electronic health records (EHR). We aim to develop an algorithm to classify smoking status based on unstructured EHRs using natural language processing (NLP). With acronym replacement and Python package Soynlp, we normalize 4711 bilingual clinical notes. Each EHR notes was classified into 4 categories: current smokers, past smokers

Artificial IntelligenceComputer Science
9
Article|15 citations·2023
COVID-19 vaccination, incidence, and mortality rates among individuals with mental disorders in South Korea: A nationwide retrospective study
Dong‐Wook Lee, Ye Seul Bae, Jae-Ryun Lee, Jae-Ryun Lee, Jee Hoon Sohn, Hyejin Lee, Hyejin Lee, Jin Yong Lee, Jin Yong Lee
SJR Q1Asian Journal of PsychiatryOA
Clinical PsychologyPsychology
10
Article|15 citations·2021
Satisfaction and Usability of an Information and Communications Technology–Based System by Clinically Healthy Patients With COVID-19 and Medical Professionals: Cross-sectional Survey and Focus Group Interview Study
Ye Seul Bae, Kyung Hwan Kim, Sae Won Choi, Taehoon Ko, JunSeo Lim, Meihua Piao
SJR Q2JMIR Formative ResearchOA

BACKGROUND: Digital health care is an important strategy in the war against COVID-19. South Korea introduced living and treatment support centers (LTSCs) to control regional outbreaks and care for patients with asymptomatic or mild COVID-19. Seoul National University Hospital (SNUH) introduced information and communications technology (ICT)-based solutions to manage clinically healthy patients with COVID-19. OBJECTIVE: This study aims to investigate satisfaction and usability by patients and hea

Public Health, Environmental and Occupational HealthMedicine
11
Article|10 citations·2021
Development and Pilot-Test of Blockchain-Based MyHealthData Platform
Ye Seul Bae, Yujin Park, Taekhoon Kim, Taehoon Ko, Min‐Soo Kim, Eunsol Lee, Hee Chan Kim, Hyung‐Jin Yoon
SJR Q2Applied SciencesOA

The concept of MyData emerged as a paradigm shift in personal data management and the process of seeking to transform the current organization-centered system. MyData enables the utilization of one’s own personal information that is scattered among various institutions as a system for data subjects to exercise rights of self-determination. We aimed to develop and demonstrate a MyData platform (MyHealthData) that allows data subjects to download and manage health-related personal data stored in v

Information SystemsComputer Science
12
Article|7 citations·2020
Association and Prediction of Subclinical Atherosclerosis by Nonalcoholic Fatty Liver Disease in Asymptomatic Patients
Ye Seul Bae, Yeon Seo Ko, Jae Moon Yun, Ah Young Eo, Ha Jin Kim
SJR Q2Canadian Journal of Gastroenterology and HepatologyOA

Background: The prevalence of nonalcoholic fatty liver disease (NAFLD) has been increasing in the general population. This study evaluated the association between NAFLD and significant coronary stenosis in asymptomatic adults and evaluated sex-based differences. Methods: We performed a retrospective cross-sectional study in participants without previous cardiovascular diseases who visited the Seoul National University Hospital Health Promotion Center for a health checkup between January 1, 2010,

EpidemiologyMedicine
13
Article|7 citations·2022
Building and implementing a contactless clinical trial protocol for patients with COVID-19: A Korean perspective
Ye Seul Bae, Sumi Sung, Jung Eun Lee, Hyeonji Lee, Eui Kyu Chie
SJR Q1Frontiers in MedicineOA

Introduction: To effectively manage patients with coronavirus disease 2019 (COVID-19) while minimizing contact between medical staff, clinical trial protocol that facilitates contactless patient management was designed to predict deterioration of disease condition and monitor mental health status. Methods: Through consultation with infectious disease specialists and psychiatrists, this study identified main clinical indicators related to respiratory and non-respiratory outcomes, and mental healt

Public Health, Environmental and Occupational HealthMedicine
14
Article|6 citations·2016
Genome-Wide Association Study of Bone Mineral Density in Korean Men
Ye Seul Bae, Sun-Wha Im, Mi So Kang, Jin Hee Kim, Soon Hang Lee, Belong Cho, Jin‐Ho Park, You‐Seon Nam, Ho‐Young Son, San Deok Yang, Joohon Sung, Kwang Ho Oh
SJR Q2Genomics & InformaticsOA

Osteoporosis is a medical condition of global concern, with increasing incidence in both sexes. Bone mineral density (BMD), a highly heritable trait, has been proven a useful diagnostic factor in predicting fracture. Because medical information is lacking about male osteoporotic genetics, we conducted a genome-wide association study of BMD in Korean men. With 1,176 participants, we analyzed 4,414,664 single nucleotide polymorphisms (SNPs) after genomic imputation, and identified five SNPs and th

Orthopedics and Sports MedicineMedicine
15
Article|5 citations·2019
Oral bisphosphonate use and the risk of female breast, ovarian, and cervical cancer: a nationwide population-based cohort study
Ye Seul Bae, Jooyoung Chang, Sang Min Park
SJR Q1Archives of Osteoporosis
OncologyMedicine

Research Areas

General Health ProfessionsPublic Health, Environmental and Occupational HealthEpidemiologyClinical PsychologyMolecular BiologyEndocrinology, Diabetes and Metabolism

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