교수진 소개
- Name
- Kwang Sun Ryu., Ph.D
- Faculty Appointment:
(title, department)
- Associate professor, Department of Cancer AI & Digital Health
(National Cancer Data Center, Data Curation& Construction Team and Data Planning&Technology Team
- Area of Expertise
- Data mining, Machine learning, Medical informatics
- Contact no
- 031-920-0654
- E-mail
- niceplay13@ncc.re.kr
- Work Experience
- Oct 2021 - : Senior researcher, National Cancer Center
Nov 2019 – Sep 2021: Researcher, National Cancer Center
Jun 2019 – Oct 2019: External Researcher, National Cancer Center
May 2018- May 2019: Senior Researcher, Korea Disease Control and Prevention Agency
Mar 2017 ~ May 2019: Post-Doc, Chungbuk National University
- Educational Background
- Mar 2013 – Feb 2017: Ph.D. Chungbuk National University
Mar 2010 – Aug 2012: M.S. Chungbuk National University
Mar 2003 – Feb 2009: B.S. Korea Nazarene University
- Research Interests
- Generation and verification for synthetic data
Pattern mining for clinical tabular data
Analysis of the combined data by pseudonyms information
- Achievements
-
-Application of Machine Learning to Identify Clinically Meaningful Risk Group for Osteoporosis in Individuals Under the Recommended Age for Dual?Energy X?Ray Absorptiometry: CALCIFIED TISSUE INTERNATIONAL. Online:Published (4.333)
-Risk factors of undiagnosed diabetes mellitus among Korean adults: a national cross-sectional study using the KNHANES data: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 18(3):1195~ (3.39)
-Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting: JOURNAL OF MEDICAL INTERNET RESEARCH. 22(12):e18418~ (5.034)
-Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 17(23):8903~ (2.849)
-A Deep Learning Model for Estimation of Patients with Undiagnosed Diabetes: APPLIED SCIENCES-BASEL. 10(1):421~ (2.474)
-Risk Scoring System for Prognosis Estimation of Multivessel Disease Among Patients with ST-Segment Elevation Myocardial Infarction: International Heart Journal. 60(3):708~714 (2.226)
-comparison of clinical outcomes between culprit vessel only and multivessel percutaneous coronary intervention for ST-segment elevation myocardial infarction patients with multivessel coronary disease: journal of geriatric cardiology. : (1.393)
-discovering medical knowledge using association rule mining in young adults with acute myocardial infarction: JOURNAL OF MEDICAL SYSTEMS. : (1.372)
