Fit4Surgery for cancer patients during covid-19 lockdown – A systematic review and meta-analysis

Autor: T. van Gestel, L.C.B. Groen, J.R. Puik, S.J. van Rooijen, H.J. van der Zaag-Loonen, L.J. Schoonmade, G. Danjoux, F. Daams, W.H. Schreurs, E.R.J. Bruns

Publikováno v: van Gestel, T, Groen, L C B, Puik, J R, van Rooijen, S J, van der Zaag-Loonen, H J, Schoonmade, L J, Danjoux, G, Daams, F, Schreurs, W H & Bruns, E R J 2022, ' Fit4Surgery for cancer patients during covid-19 lockdown – A systematic review and meta-analysis ', European Journal of Surgical Oncology, vol. 48, no. 6, pp. 1189-1197 . https://doi.org/10.1016/j.ejso.2022.02.010

Background: Prehabilitation is a promising method to enhance postoperative recovery, especially in patients suffering from cancer. Particularly during times of social distancing, providing home-based programmes may have become a suitable solution to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04afec6a099ca2d0580d4e1322d6d164
https://research.vumc.nl/en/publications/2b26fcdf-60fc-48c9-9c42-6a86569316d8

Residual Stress Assessment for Thin 8YSZ Electrolytes Using Focused Ion Beam Milling and Digital Image Correlation

Autor: T. van Gestel, Jürgen Malzbender

Publikováno v: Fuel Cells. 13:1076-1079

With respect to solid oxide fuel cell power density it has been verified that 1–2 μm thick 8YSZ electrolytes have significant advantages, offering the potential to operate stacks at temperatures of 600 °C. However, reliability of the component de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::61b6077e6eeee6efa95b3d25a375010a
https://doi.org/10.1002/fuce.201300154

Credit rating prediction using Ant Colony Optimization

Autor: T. Van Gestel, David Martens, Bart Baesens, M. de Backer, Raf Haesen, Jan Vanthienen

Publikováno v: Journal of the Operational Research Society. 61:561-573

The introduction of the Basel II Capital Accord has encouraged financial institutions to build internal rating systems assessing the credit risk of their various credit portfolios. One of the key outputs of an internal rating system is the probabilit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a374af82af65eabbf837710677afec9e
https://doi.org/10.1057/jors.2008.164

Decompositional Rule Extraction from Support Vector Machines by Active Learning

Autor: Bart Baesens, T. Van Gestel, David Martens

Publikováno v: IEEE Transactions on Knowledge and Data Engineering. 21:178-191

Support vector machines (SVMs) are currently state-of-the-art for the classification task and, generally speaking, exhibit good predictive performance due to their ability to model nonlinearities. However, their strength is also their main weakness,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adb06e11c19c9901db5681aab0189b24
https://doi.org/10.1109/tkde.2008.131

Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms

Autor: Jan Vanthienen, Christophe Mues, Bart Baesens, Frank Hoffmann, T. Van Gestel

Publikováno v: European Journal of Operational Research. 177:540-555

Generating both accurate as well as explanatory classification rules is becoming increasingly important in a knowledge discovery context. In this paper, we investigate the power and usefulness of fuzzy classification rules for data mining purposes. W

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b40101d73a48238791f3f0c4a6c0892a
https://doi.org/10.1016/j.ejor.2005.09.044