Dukyong Yoon

发表

Motion-oriented noisy physiological signal refining using embedded sensing platforms

JeongGil Ko, Jaeyeon Park, Woojin Nam, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals

Dukyong Yoon, Rae Woong Park, Eugene Jeong, 2018, PloS one.

A Comparative Study of Machine Learning Algorithms for Diagnosis of Ischemic Heart Disease

Seok-Won Lee, Dukyong Yoon, Min-Koo Kim, 2018 .

Construction of an Electrocardiogram Database Including 12 Lead Waveforms

Dukyong Yoon, Rae Woong Park, Dahee Chung, 2018, Healthcare informatics research.

Conversion of National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM)

Dukyong Yoon, Seng Chan You, Soo Yeon Cho, 2017, MedInfo.

Monitoring Physicians' Prescription Patterns on Electronic Health Record: The Prescription Pattern around Clinical Event (PACE) Algorithm

Dukyong Yoon, Rae Woong Park, Man Young Park, 2013, MedInfo.

I am a "Smart" watch, Smart Enough to Know the Accuracy of My Own Heart Rate Sensor

Hee-Jung Yoon, Ho-Kyeong Ra, JeongGil Ko, 2017, HotMobile.

Rate of electronic health record adoption in South Korea: A nation-wide survey

Dukyong Yoon, Soo Yeon Cho, Rae Woong Park, 2017, Int. J. Medical Informatics.

Adoption of electronic health records in Korean tertiary teaching and general hospitals

Dukyong Yoon, Rae Woong Park, Byung-Chul Chang, 2012, Int. J. Medical Informatics.

Constructing a Bio-Signal Repository from an Intensive Care Unit for Effective Big-data Analysis: Poster Abstract

JeongGil Ko, Jaeyeon Park, Tae Young Kim, 2016, SenSys.

Constructing an Open-Access Bio-Signal Repository from Intensive Care Units

JeongGil Ko, Jaeyeon Park, Tae Young Kim, 2017, MedInfo.

Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research

Martijn J. Schuemie, Dukyong Yoon, Soo Yeon Cho, 2016, Healthcare informatics research.

Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model

Hong Seok Lim, Sukhoon Lee, Dukyong Yoon, 2019, Healthcare informatics research.

Knowledge Integration and Use-Case Analysis for a Customized Drug-Drug Interaction CDS Service

Hye Jin Kam, Dukyong Yoon, Woojae Kim, 2010, SUComS.

Standard-based comprehensive detection of adverse drug reaction signals from nursing statements and laboratory results in electronic health records

Hun-Sung Kim, Ju Han Kim, Dukyong Yoon, 2017, J. Am. Medical Informatics Assoc..

Glasses for the Third Eye: Improving the Quality of Clinical Data Analysis with Motion Sensor-based Data Filtering

JeongGil Ko, Jeongyeup Paek, Jaeyeon Park, 2017, SenSys.

Differentially co-expressed interacting protein pairs discriminate samples under distinct stages of HIV type 1 infection

Dukyong Yoon, Rae Woong Park, KiYoung Lee, 2011, BMC Systems Biology.

System for Collecting Biosignal Data from Multiple Patient Monitoring Systems

JeongGil Ko, Tae Young Kim, Sukhoon Lee, 2017, Healthcare informatics research.

ECG-ViEW II, a freely accessible electrocardiogram database

Sukhoon Lee, Dukyong Yoon, Rae Woong Park, 2017, PloS one.

Is there any correlation between model-based perfusion parameters and model-free parameters of time-signal intensity curve on dynamic contrast enhanced MRI in breast cancer patients?

Dukyong Yoon, Tae Hee Kim, Doo Kyoung Kang, 2014, European Radiology.

A novel algorithm for detection of adverse drug reaction signals using a hospital electronic medical record database

Hye Jin Kam, Dukyong Yoon, Rae Woong Park, 2011, Pharmacoepidemiology and drug safety.

Extracting information from free-text electronic patient records to identify practice-based evidence of the performance of coronary stents

Sukhoon Lee, Dukyong Yoon, Rae Woong Park, 2017, PloS one.