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Emily Chia-Yu Su

Associate Professor

 https://orcid.org/0000-0003-4801-5159
  • 286 Citations
  • 8 h-Index
20052020
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Personal profile

Education

  • 2009 Ph.D., Bioinformatics Program, Taiwan International Graduate Program (TIGP), Academia Sinica (in cooperation with Institute of Bioinformatics, National Chiao Tung University)
  • 2003 M.S., Department of Computer Science and Information Engineering, National Taiwan University
  • 2001 B.S., Department of Information and Computer Education (minor in English), National Taiwan Normal University

Experience

  • 2017- Associate Professor, Graduate Institute of Biomedical Informatics
  • 2009-2017 Assistant Professor, Graduate Institute of Biomedical Informatics
  • 2009 Postdoctoral fellow, Institute of Information Sciences, Academia Sinica

Awards

  • 2015, Awarded “Teaching Excellence Award”
  • 2014, Awarded “Teaching Excellence Award”
  • 2012, Awarded “Excellent Mentor Award”
  • 2011, Awarded “Teaching Excellence Award”

Research Interests

  • Bioinformatics
  • Medical informatics
  • Data mining
  • Natural language processing
  • Immunoinformatics
  • Proteomics

URL

Fingerprint Dive into the research topics where Emily Chia-Yu Su is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Proteins Engineering & Materials Science
Support vector machines Engineering & Materials Science
Prediction Mathematics
Semantics Medicine & Life Sciences
Genes Engineering & Materials Science
Classifiers Engineering & Materials Science
Protein Mathematics
Three-way Data Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2013 2020

以機器學習演算法進行抗癌胜肽預測及其生物活性評估之電腦輔助胜肽藥物設計研究

Su, E. C.

8/1/19 → 7/1/20

Project: A - Government Institution › b - Ministry of Science and Technology

108大專生計畫獎-蘇家玉

Su, E. C.

8/1/19 → 7/1/20

Project: A - Government Institution › b - Ministry of Science and Technology

基於深度學習優化抗發炎胜肽預測及特性分析之免疫生物資訊學研究

Su, E. C.

7/1/19 → 2/1/20

Project: A - Government Institution › b - Ministry of Science and Technology

運用人工智慧建構慢性疼痛患者長期監測及自我照顧的健康平台-應用深度學習進行慢性疼痛患者的自動化顏面表情分析

Su, E. C.

1/1/19 → 12/1/19

Project: A - Government Institution › d - Ministry of Education

107大專生計畫獎-蘇家玉

Su, E. C.

8/1/18 → 7/31/19

Project: A - Government Institution › b - Ministry of Science and Technology

Research Output 2005 2018

  • 286 Citations
  • 8 h-Index
  • 20 Article
  • 2 Book
  • 2 Conference contribution
  • 2 Editorial

Adverse Drug Reaction Post Classification with Imbalanced Classification Techniques

Wang, C. K., Dai, H. J., Wang, F. D. & Su, E. C. Y., Dec 24 2018, Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018. Institute of Electrical and Electronics Engineers Inc., p. 5-9 5 p. 8588467. (Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Classifiers
Marketing
Health
Monitoring
2 Citations (Scopus)

Data-driven approach to improving the risk assessment process of medical failures

Yu, S. H., Su, E. C. Y. & Chen, Y. T., Oct 1 2018, In : International Journal of Environmental Research and Public Health. 15, 10, 2069.

Research output: Contribution to journal › Article

Health Care Sector
Quality Improvement
Research Personnel
12 Citations (Scopus)

Policy or income to affect the generation of medical wastes: An application of environmental Kuznets curve by using Taiwan as an example

Su, E. C-Y. & Chen, Y-T., Jul 1 2018, In : Journal of Cleaner Production. 188, p. 489-496 8 p.

Research output: Contribution to journal › Article

Kuznets curve
Waste disposal
income
Health
policy
3 Citations (Scopus)

Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms

Tsao, H. Y., Chan, P. Y. & Su, E. C. Y., Aug 13 2018, In : BMC Bioinformatics. 19

Research output: Contribution to journal › Article

Diabetic Retinopathy
Learning algorithms
Learning systems
Insulin
Learning Algorithm
5 Citations (Scopus)

Roles of sedentary behaviors and unhealthy foods in increasing the obesity risk in adult men and women: A cross-sectional national study

Nurwanti, E., Uddin, M., Chang, J. S., Hadi, H., Syed-Abdul, S., Su, E. C. Y., Nursetyo, A. A., Masud, J. H. B. & Bai, C. H., Jun 1 2018, In : Nutrients. 10, 6, 704.

Research output: Contribution to journal › Article

obesity
Obesity
Cross-Sectional Studies
Food
food intake