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Perioperative adverse cardiac events and mortality after non-cardiac surgery: a multicenter study

Choi B, Oh AR, Park J, Lee JH, Yang K, Lee DY, Rhee SY, Kang SS, Lee SD, Lee SH, Jeong CW, Park B, Seol S, Park RW, Lee S

Background: Perioperative adverse cardiac events (PACE), a composite of myocardial infarction, coronary revascularization, congestive heart failure, arrhythmic attack, acute pulmonary embolism, cardiac arrest, and stroke during 30-day postoperative period, is...
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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

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

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

Lee GH, Park J, Kim J, Kim Y, Choi B, Park RW, Rhee SY, Shin SY

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

Chang J, Choo E, Park RW, Lee S

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

You SC, Lee S, Choi B, Park RW

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

Tan HX, Teo DCH, Lee D, Kim C, Neo JW, Sung C, Chahed H, Ang PS, Tan DSY, Park RW, Dorajoo SR

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

Park C, You SC, Jeon H, Jeong CW, Choi JW, Park RW

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

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

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

Seong Y, You SC, Ostropolets A, Rho Y, Park J, Cho J, Dymshyts D, Reich CG, Heo Y, Park RW

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

Rho Y, Cho DY, Son Y, Lee YJ, Kim JW, Lee HJ, You SC, Park RW, Lee JY

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

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

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

Jeon E, Kim Y, Park H, Park RW, Shin H, Park HA

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

Park YT, Kim D, Park RW, Atalag K, Kwon IH, Yoon D, Choi M

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

You SC, Jung S, Swerdel JN, Ryan PB, Schuemie M, Suchard MA, Lee S, Cho J, Hripcsak G, Park RW, Park S

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

Kim C, Lee J, Park RW, Lee S

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

Park RW

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

Haque ME, Khan F, Chi L, Gurung S, Vadevoo SM, Park RW, Kim DK, Kim SK, Lee B

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

You SC, Park H, Yoon D, Park S, Joung B, Park RW

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

Chung D, Choi J, Jang JH, Kim TY, Byun J, Park H, Lim HS, Park RW, Yoon D

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

Yoon D, Lee S, Kim TY, Ko J, Chung WY, Park RW

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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