Browsing by Keyword : Electronic Health Records

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Showing results 1 to 16 of 16

Pub YearTitleAuthor(s)
2020Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning박래웅
2020Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy박래웅, 윤덕용
2018Can we predict when to start renal replacement therapy in patients with chronic kidney disease using 6 months of clinical data?김흥수, 박래웅, 박인휘, 신규태, 윤덕용, 이민정, 정종철, 조수연
2018Cardiovascular Events Associated With SGLT-2 Inhibitors Versus Other Glucose-Lowering Drugs: The CVD-REAL 2 Study김대중
2016Characterizing treatment pathways at scale using the OHDSI network박래웅
2019Chronic Kidney Disease Risk Prediction using Electronic Health Records Pattern Information based on Deep Learning이유림
2016Comparison of the Risk of Gastrointestinal Bleeding among Different Statin Exposures with Concomitant Administration of Warfarin: Electronic Health Record-Based Retrospective Cohort Study박래웅, 윤덕용, 이진수, 임선교, 홍지만
2016Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research박래웅, 윤덕용
2019Dementia Patient Segmentation Using EMR Data Visualization: A Design Study손상준, 홍창형
2012Detection of adverse drug reaction signals using an electronic health records database: Comparison of the Laboratory Extreme Abnormality Ratio (CLEAR) algorithm박래웅
2019Development of a Controlled Vocabulary-Based Adverse Drug Reaction Signal Dictionary for Multicenter Electronic Health Record-Based Pharmacovigilance박래웅
2014Differences among admitting departments in alerts and alert overrides for drug-drug interaction.박래웅
2015Repurpose terbutaline sulfate for amyotrophic lateral sclerosis using electronic medical records.박래웅
2017Standard-based comprehensive detection of adverse drug reaction signals from nursing statements and laboratory results in electronic health records박래웅, 윤덕용
2014The Korean Heart Study: rationale, objectives, protocol, and preliminary results for a new prospective cohort study of 430,920 men and women.박샛별, 이순영
2016다기관 검사 데이터 통합 분석을 위한 정규화 방법윤덕용
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