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Research profile

Caro Fuchs graduated in 2017 at the Eindhoven University of Technology on the topic of datamining techniques applied to healthcare cases. Currently, she pursues a Ph.D. at the School of Industrial Engineering and Innovation Sciences in the Information Systems group. Her research interests include linguistically conditioned modelling, intelligent decision support systems, data analysis, machine learning and computational modelling methods. She mainly applies her research in the healthcare domain.

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research interest Social Sciences
Fuzzy inference Engineering & Materials Science
Fuzzy rules Engineering & Materials Science
Membership functions Engineering & Materials Science
information system Social Sciences
data analysis Social Sciences
marketing Social Sciences
engineering Social Sciences

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Research Output 2018 2019

  • 2 Citations
  • 4 Conference contribution
  • 1 Article

No age thresholds in the emergency department: a retrospective cohort study on age differences

Fuchs, C., Çelik, B., Brouns, S. H. A., Kaymak, U. & Haak, H. R., 30 Jan 2019, In : PLoS ONE. 14, 1, 11 p., e0210743

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Bins
cohort studies
Hospital Emergency Service
Cohort Studies
Retrospective Studies

The understanding of the quantifiers 'many' and 'most'

Fuchs, C., Vlooswijk, E., Kaymak, U. & Wilbik, A., 28 Jan 2019, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). Piscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 189-195 7 p. 8628821

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

Membership functions
Quantifiers
Linguistics
Railroad cars
Students
1 Citation (Scopus)

An enhanced approach to rule base simplification of first-order takagi-sugeno fuzzy inference systems

Fuchs, C. E. M., Wilbik, A. M., van Loon, S. L. M., 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, September 11-15, 2017, Warsaw, Poland IWIFSGN’2017 – The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13-15, 2017, Warsaw, Poland, Volume 2. Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K. T. & Krawczak, M. (eds.). Dordrecht: Springer, p. 92-103 12 p. (Advances in Intelligent Systems and Computing; vol. 642)

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

Fuzzy inference
Fuzzy rules
Membership functions

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
Interaction
Model
1 Citation (Scopus)

Towards more specific estimation of membership functions for data-driven fuzzy inference systems

Fuchs, C. E. M., Wilbik, A. M. & Kaymak, U., Jul 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) . Piscataway: Institute of Electrical and Electronics Engineers (IEEE), 8 p. 8491524

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

Fuzzy inference
Membership functions
Fuzzy clustering
Fuzzy rules
Identification (control systems)

Courses

Business process simulation

1/09/13 → …

Course

Healthcare information systems

1/09/12 → …

Course

Student theses

Predicting outcomes of bariatric surgery using datamining techniques

Author: Fuchs, C., 31 Mar 2017

Supervisor: Wilbik, A. (Supervisor 1), Kaymak, U. (Supervisor 2), Kusters, R. (Supervisor 2), Boer, A. (Supervisor 2) & van Loon, S. (Supervisor 2)

Student thesis: Master

File