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Personal profile

Research profile

Peipei Chen received her Bachelor’s Degree from Zhengzhou University, China after four years (2010-2014) study majored in Biomedical Engineering. Then she was admitted into Zhejiang University as a Direct Ph.D. student in September, 2014. From March 2015 to December 2015, her work mainly focused on the standardization and mapping of Chinese clinical terminology and related Medical Terminology Services, which aimed to promote the medical information exchange and sharing. The technologies used included text similarity algorithm and Chinese words segmentation. 

From the end of December of 2015, she was selected to take part in the Brain Bridge Project” Risk assessment to improve patient outcomes for cardiovascular diseases”. The goal of this project is to predict the risk of cardiovascular patients of different conditions using data mining technique so that practitioners can adopt suitable therapies. Currently, for this project, she is doing her PhD in the Information System Group in Industrial Engineering Department, Tu/e.

Fingerprint Dive into the research topics where Peipei Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Feature extraction Engineering & Materials Science
Fuzzy Modeling Mathematics
Terminology Engineering & Materials Science
Feature Selection Mathematics
Industrial engineering Engineering & Materials Science
Biomedical engineering Engineering & Materials Science
Data mining Engineering & Materials Science
Interaction Mathematics

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Research Output 2017 2018

  • 1 Citations
  • 3 Conference contribution
1 Citation (Scopus)

Finding the optimal number of features based on mutual information

Chen, P., Wilbik, A., van Loon, S., Boer, A-K. & Kaymak, U., 2018, Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. Springer, Vol. 641, p. 477-486 10 p. (Advances in Intelligent Systems and Computing; vol. 641)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Feature extraction

On the interaction between feature selection and parameter determination in fuzzy modelling

Chen, P., Fuchs, C., Wilbik, A., Chan, T. M., van Loon, S., Boer, A. K., Lu, X., Scharnhorst, V. & Kaymak, U., 1 Jan 2018, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III. Medina, J., Perfilieva, I. & Yager, R. R. (eds.). Dordrecht: Springer, p. 150-161 12 p. (Communications in Computer and Information Science; vol. 855)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Fuzzy Modeling
Feature Selection
Feature extraction

On performance vs. risk trade-off in feature selection

Chen, P., Wilbik, A. M. & Kaymak, U., 2017, Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS 2017), 27-30 June 2017, Otsu, Japan. Piscataway: Institute of Electrical and Electronics Engineers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review