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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Our Fruitful Relationship with Sugeno Inference, from FUMOSO to pyFUME
Bacciu, L., Cazzaniga, P., Gallese, C., Fuchs, C., Kaymak, U., Papetti, D. M. & Nobile, M. S., 2025, Information Processing and Management of Uncertainty in Knowledge-Based Systems : 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 2. Lesot, M.-J., Vieira, S., Reformat, M. Z., Carvalho, J. P., Batista, F., Bouchon-Meunier, B. & Yager, R. R. (eds.). Springer, p. 12-24 13 p. (Lecture Notes in Networks and Systems (LNNS); vol. 1175).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)12 Downloads (Pure) -
Applications of IFIS python library in interval-valued fuzzy inference problems
Pekala, B., Grochowalskii, P., Kosior, D., Gil, D., Koziol, W., Dyczkowski, K., Kaymak, U., Fuchs, C. & Nobile, M. S., 5 Aug 2024, 2024 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2024 - Proceedings. Institute of Electrical and Electronics Engineers, 9 p. 10612169Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)10 Downloads (Pure) -
Fuzzy Logic for Knowledge-Driven and Data-Driven Modeling in Biomedical Sciences
Cazzaniga, P., Spolaor, S., Fuchs, C., Nobile, M. S. & Besozzi, D., 7 May 2024, Big Data Analysis and Artificial Intelligence for Medical Sciences. Carpentieri, B. & Lecca, P. (eds.). John Wiley and Sons Inc, p. 17-41 25 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
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Python library for interval-valued fuzzy inference
Dyczkowski, K. (Corresponding author), Grochowalski, P., Kosior, D., Gil, D., Kozioł, W., Pękala, B., Kaymak, U., Fuchs, C. & Nobile, M. S., May 2024, In: SoftwareX. 26, 5 p., 101730.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)59 Downloads (Pure) -
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME
Papetti, D. M., Fuchs, C., Coelho, V., Kaymak, U. & Nobile, M. S., 2 Oct 2023, CIBCB 2023 - 20th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology. Institute of Electrical and Electronics Engineers, 8 p. 10264912Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)9 Downloads (Pure)
Datasets
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Simpful example code
Spolaor, S. (Creator), Fuchs, C. E. M. (Creator) & Nobile, M. S. (Creator), Code Ocean, 14 Sept 2020
DOI: 10.24433/co.4445547.v4, https://codeocean.com/capsule/2230971/tree/v4 and one more link, https://codeocean.com/capsule/2230971/tree/v1 (show fewer)
Dataset
Press/Media
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Malpractice medica durante la pandemia: una ricerca
Gallese-Nobile, C., Nobile, M., Fuchs, C. E. M., Falletti, E., Ferrario, L., Schettini, F., Foglia, E. & Riva, S. G.
29/08/22
1 item of Media coverage
Press/Media: Public Engagement Activities
Thesis
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Predicting outcomes of bariatric surgery using datamining techniques
Fuchs, C. E. M. (Author), Wilbik, A. (Supervisor 1), Kaymak, U. (Supervisor 2), Kusters, R. J. (Supervisor 2), Boer, A. (Supervisor 2) & van Loon, S. L. M. (Supervisor 2), 31 Mar 2017Student thesis: Master
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