- Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach
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Heo S, Yu JY, Kang EA, Shin H, Ryu K, Kim C, Chegal Y, Jung H, Lee S, Park RW, Kim K, Hwangbo Y, Lee JH, Park YR
- KMID: 2544876
- Healthc Inform Res.
- 2023 Jul;29(3):246-255.
- doi: 10.4258/hir.2023.29.3.246
Objectives: The objective of this study was to develop and validate a multicenter-based, multi-model, time-series deep learning model for predicting drug-induced liver injury (DILI) in patients taking angiotensin receptor blockers... -
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- Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model
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Lee GH, Park J, Kim J, Kim Y, Choi B, Park RW, Rhee SY, Shin SY
- KMID: 2542143
- Healthc Inform Res.
- 2023 Apr;29(2):168-173.
- doi: 10.4258/hir.2023.29.2.168
Objectives: Since protecting patients’ privacy is a major concern in clinical research, there has been a growing need for privacy-preserving data analysis platforms. For this purpose, a federated learning (FL)... -
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- Association of Rhabdomyolysis in the Elderly Patients with Combination Therapy of Cytochrome 3A4 Substrates and Inhibitors Based on the Korean Claims Data
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Chang J, Choo E, Park RW, Lee S
- KMID: 2544380
- Pharmacoepidemiol Risk Manage.
- 2023 Mar;15(1):81-93.
- doi: 10.56142/perm.23.0009
Objective: Drug-induced rhabdomyolysis can cause acute kidney injury and rate of polypharmacy is high in the elderly. This study aimed to assess the incidence of rhabdomyolysis with combination therapy of... -
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- Establishment of an International Evidence Sharing Network Through Common Data Model for Cardiovascular Research
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You SC, Lee S, Choi B, Park RW
- KMID: 2536787
- Korean Circ J.
- 2022 Dec;52(12):853-864.
- doi: 10.4070/kcj.2022.0294
A retrospective observational study is one of the most widely used research methods in medicine. However, evidence postulated from a single data source likely contains biases such as selection bias,... -
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- Applying the OMOP Common Data Model to Facilitate Benefit-Risk Assessments of Medicinal Products Using Real-World Data from Singapore and South Korea
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Tan HX, Teo DCH, Lee D, Kim C, Neo JW, Sung C, Chahed H, Ang PS, Tan DSY, Park RW, Dorajoo SR
- KMID: 2529793
- Healthc Inform Res.
- 2022 Apr;28(2):112-122.
- doi: 10.4258/hir.2022.28.2.112
Objectives: The aim of this study was to characterize the benefits of converting Electronic Medical Records (EMRs) to a common data model (CDM) and to assess the potential of CDM-converted... -
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- Development and Validation of the Radiology Common Data Model (R-CDM) for the International Standardization of Medical Imaging Data
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Park C, You SC, Jeon H, Jeong CW, Choi JW, Park RW
- KMID: 2524806
- Yonsei Med J.
- 2022 Jan;63(S1):74-83.
- doi: 10.3349/ymj.2022.63.S74
Purpose: Digital Imaging and Communications in Medicine (DICOM), a standard file format for medical imaging data, contains metadata describing each file. However, metadata are often incomplete, and there is no... -
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- Association Between Suicide Risk and Comorbidity of Mood Disorder and Alcohol Use Disorder: Using Common Data Model in Psychiatry
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Cho YH, Lee E, Her ES, Hwang G, Lim KY, Noh JS, Shin Y, Hong CH, Roh HW, Lee D, Lee H, Kim D, Park RW, Park B, Son SJ
- KMID: 2519858
- J Korean Neuropsychiatr Assoc.
- 2021 Aug;60(3):232-239.
- doi: 10.4306/jknpa.2021.60.3.232
Objectives This study determines the effects of comorbidity of mood disorder and alcohol use disorder on suicide behavior. Methods We converted data from the electronic medical records of one university hospital... -
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- Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary
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Seong Y, You SC, Ostropolets A, Rho Y, Park J, Cho J, Dymshyts D, Reich CG, Heo Y, Park RW
- KMID: 2512622
- Healthc Inform Res.
- 2021 Jan;27(1):29-38.
- doi: 10.4258/hir.2021.27.1.29
Objectives: We incorporated the Korean Electronic Data Interchange (EDI) vocabulary into Observational Medical Outcomes Partnership (OMOP) vocabulary using a semi-automated process. The goal of this study was to improve the... -
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- COVID-19 International Collaborative Research by the Health Insurance Review and Assessment Service Using Its Nationwide Real-world Data: Database, Outcomes, and Implications
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Rho Y, Cho DY, Son Y, Lee YJ, Kim JW, Lee HJ, You SC, Park RW, Lee JY
- KMID: 2512324
- J Prev Med Public Health.
- 2021 Jan;54(1):8-16.
- doi: 10.3961/jpmph.20.616
This article aims to introduce the inception and operation of the COVID-19 International Collaborative Research Project, the world’s first coronavirus disease 2019 (COVID-19) open data project for research, along with... -
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- Real-world incidence of endopthalmitis after intravitreal anti-VEGF injections in Korea: findings from the Common Data Model in ophthalmology
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Mun Y, You SC, Lee DY, Kim S, Chung YR, Lee K, Song JH, Park YG, Park YH, Roh YJ, Woo SJ, Park KH, Park RW, Yoo S, Chang DJ, Park SJ
- KMID: 2526551
- Epidemiol Health.
- 2021;43(1):e2021097.
- doi: 10.4178/epih.e2021097
OBJECTIVES: The aim of this study was to evaluate the real-world incidence of endophthalmitis after intravitreal anti-vascular endothelial growth factor (VEGF) injections using data from the Observational Medical Outcomes Partnership... -
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- Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning
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Jeon E, Kim Y, Park H, Park RW, Shin H, Park HA
- KMID: 2501335
- Healthc Inform Res.
- 2020 Apr;26(2):104-111.
- doi: 10.4258/hir.2020.26.2.104
Objectives Electronic Health Records (EHRs)-based surveillance systems are being actively developed for detecting adverse drug reactions (ADRs), but this is being hindered by the difficulty of extracting data from unstructured records.... -
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- Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy
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Park YT, Kim D, Park RW, Atalag K, Kwon IH, Yoon D, Choi M
- KMID: 2469402
- Healthc Inform Res.
- 2020 Jan;26(1):68-77.
- doi: 10.4258/hir.2020.26.1.68
OBJECTIVES: We investigated associations between full Electronic Medical Record (EMR) system adoption and drug use in healthcare organizations (HCOs) to explore whether EMR system features such as electronic prescribing, medicines... -
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- Comparison of First-Line Dual Combination Treatments in Hypertension: Real-World Evidence from Multinational Heterogeneous Cohorts
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You SC, Jung S, Swerdel JN, Ryan PB, Schuemie M, Suchard MA, Lee S, Cho J, Hripcsak G, Park RW, Park S
- KMID: 2465664
- Korean Circ J.
- 2020 Jan;50(1):52-68.
- doi: 10.4070/kcj.2019.0173
BACKGROUND AND OBJECTIVES: 2018 ESC/ESH Hypertension guideline recommends 2-drug combination as initial anti-hypertensive therapy. However, real-world evidence for effectiveness of recommended regimens remains limited. We aimed to compare the effectiveness... -
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- Clinical Outcomes of Antiplatelets Combined with Statins in Patients with Ischemic Heart Disease
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Kim C, Lee J, Park RW, Lee S
- KMID: 2470463
- Korean J Clin Pharm.
- 2019 Dec;29(4):254-266.
- doi: 10.24304/kjcp.2019.29.4.254
BACKGROUND: Patients with cardiovascular risks are recommended to use statins and antiplatelet agents to prevent major cerebrocardiovascular events (MACCE). Antiplatelet agents also possess anti-inflammatory and antioxidant effects, in addition to... -
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- The Distributed Research Network, Observational Health Data Sciences and Informatics, and the South Korean Research Network
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Park RW
- KMID: 2454673
- Korean J Med.
- 2019 Aug;94(4):309-314.
- doi: 10.3904/kjm.2019.94.4.309
No abstract available. -
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- A Phage Display-Identified Peptide Selectively Binds to Kidney Injury Molecule-1 (KIM-1) and Detects KIM-1–Overexpressing Tumors In Vivo
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Haque ME, Khan F, Chi L, Gurung S, Vadevoo SM, Park RW, Kim DK, Kim SK, Lee B
- KMID: 2454279
- Cancer Res Treat.
- 2019 Jul;51(3):861-875.
- doi: 10.4143/crt.2018.214
PURPOSE: This study was carried out to identify a peptide that selectively binds to kidney injury molecule-1 (KIM-1) by screening a phage-displayed peptide library and to use the peptide for... -
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- Olmesartan is not associated with the risk of enteropathy: a Korean nationwide observational cohort study
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You SC, Park H, Yoon D, Park S, Joung B, Park RW
- KMID: 2452492
- Korean J Intern Med.
- 2019 Jan;34(1):90-98.
- doi: 10.3904/kjim.2017.002
BACKGROUND/AIMS: Olmesartan, a widely used angiotensin II receptor blocker (ARB), has been linked to sprue-like enteropathy. No cases of olmesartan-associated enteropathy have been reported in Northeast Asia. We investigated the... -
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- Construction of an Electrocardiogram Database Including 12 Lead Waveforms
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Chung D, Choi J, Jang JH, Kim TY, Byun J, Park H, Lim HS, Park RW, Yoon D
- KMID: 2418174
- Healthc Inform Res.
- 2018 Jul;24(3):242-246.
- doi: 10.4258/hir.2018.24.3.242
OBJECTIVES: Electrocardiogram (ECG) data are important for the study of cardiovascular disease and adverse drug reactions. Although the development of analytical techniques such as machine learning has improved our ability... -
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- System for Collecting Biosignal Data from Multiple Patient Monitoring Systems
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Yoon D, Lee S, Kim TY, Ko J, Chung WY, Park RW
- KMID: 2396426
- Healthc Inform Res.
- 2017 Oct;23(4):333-337.
- doi: 10.4258/hir.2017.23.4.333
OBJECTIVES: Biosignal data include important physiological information. For that reason, many devices and systems have been developed, but there has not been enough consideration of how to collect and integrate... -
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- Sharing Clinical Big Data While Protecting Confidentiality and Security: Observational Health Data Sciences and Informatics
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Park RW
- KMID: 2368979
- Healthc Inform Res.
- 2017 Jan;23(1):1-3.
- doi: 10.4258/hir.2017.23.1.1
No abstract available. -
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