| 2018 | | Severe asthma and high doses of corticosteroid adversely impact trabecular bone score more than bone mineral density | 박해심, 예영민, 윤덕용, 최용준 |
| 2017 | | Standard-based comprehensive detection of adverse drug reaction signals from nursing statements and laboratory results in electronic health records | 박래웅, 윤덕용 |
| 2016 | | Statins and risk for new-onset diabetes mellitus: A real-world cohort study using a clinical research database | 박래웅, 신승수, 윤덕용, 임홍석, 최용준 |
| 2017 | | System for Collecting Biosignal Data from Multiple Patient Monitoring Systems | 박래웅, 윤덕용, 정우영 |
| 2016 | | The Best Prediction Model for Trauma Outcomes of the Current Korean Population: a Comparative Study of Three Injury Severity Scoring Systems | 권준식, 김영환, 문종환, 박래웅, 윤덕용, 이국종, 정경원, 허요 |
| - | | The method of artificial intelligence(AI)-base d adverse drug reactions detection and the system thereof | 윤덕용 |
| 2016 | | The relationship between the failure to eradicate Helicobacter pylori and previous antibiotics use | 강준구, 김순선, 김진홍, 박래웅, 신성재, 윤덕용, 이기명, 임선교, 황재철 |
| 2016 | | The Usefulness of Serum CXCR3 Ligands for Evaluating the Early Treatment Response in Tuberculosis: A Longitudinal Cohort Study | 김영선, 박광주, 윤덕용, 이규성, 정우영, 정윤정 |
| 2019 | | Trabecular Bone Score Is More Sensitive to Asthma Severity and Glucocorticoid Treatment Than Bone Mineral Density in Asthmatics | 박해심, 신유섭, 예영민, 윤덕용, 최용준 |
| 2017 | | What We Need to Prepare for the Fourth Industrial Revolution | 윤덕용 |
| 2016 | | 다기관 검사 데이터 통합 분석을 위한 정규화 방법 | 윤덕용 |
