Research output per year
Research output per year
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.
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Research output
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A robust inner ensemble sequential feature selection method
Chen, P., Wilbik, A. M., Lu, X., Duan, H. & Kaymak, U., 5 Mar 2020, (In preparation).Research output: Working paper › Academic
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Interpretable clinical prediction via attention-based neural network
Chen, P., Dong, W., Wang, J., Lu, X., Kaymak, U. & Huang, Z., 9 Jul 2020, In : BMC Medical Informatics and Decision Making. 20, suppl. 3, 9 p., 131.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Deep representation learning for individualized treatment effect estimation using electronic health records
Chen, P., Dong, W., Lu, X., Kaymak, U., He, K. & Huang, Z., 1 Dec 2019, In : Journal of Biomedical Informatics. 100, 11 p., 103303.Research output: Contribution to journal › Article › Academic › peer-review
3 Citations (Scopus)1 Downloads (Pure) -
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 proceeding › Conference contribution › Academic › peer-review
5 Citations (Scopus)1 Downloads (Pure) -
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 proceeding › Conference contribution › Academic › peer-review
Press / Media
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Neural network helps explain relapses of heart failure patients
11/08/20
1 item of Media coverage
Press/Media: Expert Comment
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-Eindhoven University of Technology: New neural network helps doctors explain relapses of heart failure patients
10/08/20
1 item of Media coverage
Press/Media: Expert Comment
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Eindhoven University of Technology: New Neural Network Helps Doctors Explain Relapses of Heart Failure Patients
8/08/20
1 item of Media coverage
Press/Media: Expert Comment
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New neural network helps doctors explain relapses of heart failure patients
7/08/20
2 items of Media coverage
Press/Media: Expert Comment