• 8 Citations
20182019

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

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.

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

  • 4 Similar Profiles

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

Research Output

  • 8 Citations
  • 7 Conference contribution
  • 1 Paper
  • 1 Article

A novel multi-objective approach to fuzzy clustering

Spolaor, S., Fuchs, C., Kaymak, U. & Nobile, M. S., 2019, 2019 IEEE Symposium Series on Computational Intelligence. Institute of Electrical and Electronics Engineers, p. 850-857 8 p.

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

  • 1 Downloads (Pure)

    A swarm intelligence approach to avoid local optima in fuzzy c-means clustering

    Fuchs, C., Spolaor, S., Nobile, M. & Kaymak, U., 1 Jun 2019, 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019. Piscataway: Institute of Electrical and Electronics Engineers, 6 p. 8858940

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

  • 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
  • 38 Downloads (Pure)

    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, p. 189-195 7 p. 8628821

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

  • 6 Downloads (Pure)

    Towards a better understanding of the linguistic quantifiers `many' and `most'

    Fuchs, C., Vlooswijk, E. A. G., Wilbik, A. & Kaymak, U., 2019.

    Research output: Contribution to conferencePaper

    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