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Seyoung Jung

Seoul National University · 医学

研究室紹介

Professor Seyoung Jung's research lab specializes in biomedical imaging and clinical pharmacology, with a focus on improving diagnostic accuracy in prostate cancer using advanced MRI techniques such as diffusion-weighted and T2-weighted imaging. The lab also investigates drug metabolism and pharmacokinetics, particularly the role of cytochrome P450 enzymes like CYP3A in psychotropic drug disposition. Additionally, the lab applies mathematical modeling and epidemiological analysis to understand infectious disease dynamics, such as the spread of COVID-19 in South Korea. Their work bridges clinical medicine, pharmacology, and data science to address public health challenges.

prostate cancerpharmacokineticsmathematical modelingepidemiologymedical imaging

Research Overview

Papers
119
Total Citations
1,381
Papers (5y)
55
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
55total
2021
2022
2023
2024
2025
Citations per year (5y)
348total
20212022202320242025

Selected Papers

15
1
Article|102 citations·2013
Transition Zone Prostate Cancer: Incremental Value of Diffusion-weighted Endorectal MR Imaging in Tumor Detection and Assessment of Aggressiveness
Se Young Jung, Olivio F. Donati, Hebert Alberto Vargas, Debra Goldman, Hedvig Hricak, Oğuz Akın
SJR Q1Radiology

Use of diffusion-weighted imaging in addition to T2-weighted imaging improved detection of prostate cancer in the transition zone, and tumor ADCs were inversely associated with tumor Gleason scores in the transition zone.

Pulmonary and Respiratory MedicineMedicine
2
Article|96 citations·2017
Impact of an Electronic Health Record-Integrated Personal Health Record on Patient Participation in Health Care: Development and Randomized Controlled Trial of MyHealthKeeper
Borim Ryu, Nari Kim, Eunyoung Heo, Sooyoung Yoo, Keehyuck Lee, Hee Hwang, Jeong‐Whun Kim, Yoojung Kim, Joongseek Lee, Se Young Jung
SJR Q1Journal of Medical Internet ResearchOA

ClinicalTrials.gov NCT03200119; https://clinicaltrials.gov/ct2/show/NCT03200119 (Archived by WebCite at http://www.webcitation.org/6v01HaCdd).

Health Information ManagementHealth Professions
3
Article|58 citations·2005
Cytochrome P450 3A inhibitor itraconazole affects plasma concentrations of risperidone and 9-hydroxyrisperidone in schizophrenic patients
Se Young Jung, Kyoung‐Ah Kim, Hye‐Youn Cho, Inkyung Jung, Pil‐Whan Park, Wonwoo Byun, Ji Young Park
SJR Q1Clinical Pharmacology & TherapeuticsOA

Our results provide in vivo evidence of the involvement of CYP3A in the disposition of risperidone and 9-hydroxyrisperidone. In addition to CYP2D6, treatment with CYP3A inhibitor(s) including itraconazole may influence clinical symptoms and risperidone side effects.

Psychiatry and Mental healthMedicine
4
Preprint|55 citations·2020
Analysis of COVID-19 spread in South Korea using the SIR model with time-dependent parameters and deep learning
Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Se Young Jung
medRxivOA

Abstract Mathematical modeling is a process aimed at finding a mathematical description of a system and translating it into a relational expression. When a system is continuously changing over time (e.g., infectious diseases) differential equations, which may include parameters, are used for modeling the system. The process of finding those parameters that best fit the given data from the system is called an inverse problem. This study aims at analyzing the novel coronavirus infection (COVID-19)

Modeling and SimulationMathematics
5
Article|38 citations·2015
Association between secondhand smoke exposure and blood lead and cadmium concentration in community dwelling women: the fifth Korea National Health and Nutrition Examination Survey (2010–2012)
Se Young Jung, Suyeon Kim, Kiheon Lee, Kiheon Lee, Ju Young Kim, Woo Kyung Bae, Keehyuck Lee, Keehyuck Lee, Jong Soo Han, Sarah Kim
SJR Q1BMJ OpenOA

OBJECTIVES: To assess the association between secondhand smoke exposure and blood lead and cadmium concentration in women in South Korea. DESIGN: Population-based cross-sectional study. SETTING: South Korea (Korea National Health and Nutrition Examination Survey V). PARTICIPANTS: 1490 non-smoking women who took part in the fifth Korea National Health and Nutrition Examination Survey (2010-2012), in which blood levels of lead and cadmium were measured. PRIMARY OUTCOME MEASURES: The primary outcom

Health, Toxicology and MutagenesisEnvironmental Science
6
Article|37 citations·2021
User Perspectives on Barriers and Facilitators to the Implementation of Electronic Health Records in Behavioral Hospitals: Qualitative Study
Se Young Jung, Hee Hwang, Keehyuck Lee, Donghyun Lee, Sooyoung Yoo, Kahyun Lim, Ho‐Young Lee, Eric Kim
SJR Q2JMIR Formative ResearchOA

BACKGROUND: Despite the rapid adoption of electronic health records (EHRs) resulting from the reimbursement program of the US government, EHR adoption in behavioral hospitals is still slow, and there remains a lack of evidence regarding barriers and facilitators to the implementation of mental health care EHRs. OBJECTIVE: The aim of this study is to analyze the experience of mental health professionals to explore the perceived barriers, facilitators, and critical ideas influencing the implementa

Health Information ManagementHealth Professions
7
Article|34 citations·2019
Development of Comprehensive Personal Health Records Integrating Patient-Generated Health Data Directly From Samsung S-Health and Apple Health Apps: Retrospective Cross-Sectional Observational Study
Se Young Jung, Jeong‐Whun Kim, Hee Hwang, Keehyuck Lee, Rong‐Min Baek, Ho‐Young Lee, Sooyoung Yoo, Wongeun Song, Jong Soo Han
SJR Q1JMIR mhealth and uhealthOA

This is the first study to examine the factors related to integration of lifelog data from Samsung S-Health and Apple Health apps into EMR-tethered PHRs and factors related to the retrieval of medical documents from PHRs. Our findings on the lifelog data integration can be used to design PHRs as a platform to integrate lifelog data in the future.

General Health ProfessionsHealth Professions
8
Article|32 citations·2020
Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation
Se Young Jung, Hyeontae Jo, Hwijae Son, Hyung Ju Hwang
SJR Q1Journal of Medical Internet ResearchOA

BACKGROUND: The COVID-19 pandemic has caused major disruptions worldwide since March 2020. The experience of the 1918 influenza pandemic demonstrated that decreases in the infection rates of COVID-19 do not guarantee continuity of the trend. OBJECTIVE: The aim of this study was to develop a precise spread model of COVID-19 with time-dependent parameters via deep learning to respond promptly to the dynamic situation of the outbreak and proactively minimize damage. METHODS: In this study, we inves

Modeling and SimulationMathematics
9
Article|30 citations·2020
Perspectives of Patients, Health Care Professionals, and Developers Toward Blockchain-Based Health Information Exchange: Qualitative Study
Keehyuck Lee, Kahyun Lim, Se Young Jung, Hyerim Ji, Kyungpyo Hong, Hee Hwang, Ho‐Young Lee
SJR Q1Journal of Medical Internet ResearchOA

BACKGROUND: Although the electronic health record system adoption rate has reached 96% in the United States, implementation and usage of health information exchange (HIE) is still lagging behind. Blockchain has come into the spotlight as a technology to solve this problem. However, there have been no studies assessing the perspectives of different stakeholders regarding blockchain-based patient-centered HIE. OBJECTIVE: The objective of this study was to analyze the awareness among patients, heal

Health Information ManagementHealth Professions
10
Article|28 citations·2020
Barriers and Facilitators to Implementation of Medication Decision Support Systems in Electronic Medical Records: Mixed Methods Approach Based on Structural Equation Modeling and Qualitative Analysis
Se Young Jung, Hee Hwang, Keehyuck Lee, Ho‐Young Lee, Eunhye Kim, Mi-Young Kim, In Young Cho
SJR Q1JMIR Medical InformaticsOA

BACKGROUND: Adverse drug events (ADEs) resulting from medication error are some of the most common causes of iatrogenic injuries in hospitals. With the appropriate use of medication, ADEs can be prevented and ameliorated. Efforts to reduce medication errors and prevent ADEs have been made by implementing a medication decision support system (MDSS) in electronic health records (EHRs). However, physicians tend to override most MDSS alerts. OBJECTIVE: In order to improve MDSS functionality, we must

Health Information ManagementHealth Professions
11
Article|26 citations·2017
Support for Sustainable Use of Personal Health Records: Understanding the Needs of Users as a First Step Towards Patient-Driven Mobile Health
Se Young Jung, Keehyuck Lee, Hee Hwang, Sooyoung Yoo, Hyun Young Baek, Jeehyoung Kim
SJR Q1JMIR mhealth and uhealthOA

Patients with a greater number of chronic diseases tended to use PHR more actively, and used the self-administered function. Women and the elderly may have lower tendencies to actively use PHR. Therefore, items specific to the health of each demographic-women, the elderly, and those with chronic diseases-should be carefully considered to support sustainable use of PHRs.

Health Information ManagementHealth Professions
12
Article|23 citations·2024
Epidemiology of sepsis-associated acute kidney injury in critically ill patients: a multicenter, prospective, observational cohort study in South Korea
Myung Jin Song, Yeonhoon Jang, Matthieu Legrand, Sunghoon Park, Ryoung‐Eun Ko, Gee Young Suh, Dong Kyu Oh, Su Yeon Lee, Mi Hyeon Park, Chae-Man Lim, Se Young Jung, Sung Yoon Lim
SJR Q1Critical CareOA

BACKGROUND: Despite the clinical importance of sepsis-associated acute kidney injury (SA-AKI), little is known about its epidemiology. We aimed to investigate the incidence and outcomes of SA-AKI, as well as the risk factors for mortality among patients with severe SA-AKI in critically ill patients. METHODS: This secondary multicenter, observational, prospective cohort analysis of sepsis in South Korea evaluated patients aged ≥ 19 years admitted to intensive care units with a diagnosis of sepsis

NephrologyMedicine
13
Article|19 citations·2020
Barriers and facilitators to implementation of nationwide electronic health records in the Russian Far East: A qualitative analysis
Se Young Jung, Keehyuck Lee, Ho‐Young Lee, Hee Hwang
SJR Q1International Journal of Medical InformaticsOA
Health Information ManagementHealth Professions
14
Article|17 citations·2023
Changes in smoking, alcohol consumption, and the risk of Parkinson’s disease
Se Young Jung, Sohyun Chun, Eun Bin Cho, Kyungdo Han, Juhwan Yoo, Yohwan Yeo, Jung Eun Yoo, Su Min Jeong, Ju‐Hong Min, Dong Wook Shin
SJR Q1Frontiers in Aging NeuroscienceOA

Objective: There have been no studies on the association between changes in smoking and alcohol consumption or combined changes in smoking and alcohol consumption frequencies and PD risk. To assess the influence of changes in smoking and alcohol consumption on the risk of Parkinson's disease (PD). Methods: National Health Insurance Service (NHIS) database between January 2009 to December 2011 was analyzed. A total of 3,931,741 patients were included. Study participants were followed up for the i

NeurologyMedicine
15
Article|17 citations·2023
Development of machine learning algorithms for scaling-up antibiotic stewardship
Tam Tran-The, Eunjeong Heo, Sanghee Lim, Yewon Suh, Kyu‐Nam Heo, Eunkyung Euni Lee, Ho‐Young Lee, Eu Suk Kim, Ju‐Yeun Lee, Se Young Jung, Ju‐Yeun Lee, Se Young Jung
SJR Q1International Journal of Medical Informatics
Applied Microbiology and BiotechnologyImmunology and Microbiology

Research Areas

Health Information ManagementGeneral Health ProfessionsEpidemiologyArtificial IntelligenceEndocrinology, Diabetes and MetabolismPublic Health, Environmental and Occupational Health

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