Interval Coded Scoring Index with Interaction Effects - A Sensitivity Study
Lieven Billiet, Sabine Van Huffel, Vanya Van Belle
2016
Abstract
Scoring systems have been used since long in medical practice, but often they are based on experience rather than a structural approach. In literature, the interval coded scoring index (ICS) has been introduced as an alternative. It derives a scoring system from data using optimization techniques. This work discusses an extension, ICS*, that takes variable interactions into account. Furthermore, a study is performed to give insight into the new model’s sensitivity to noise, the size of the data set and the number of non-informative variables. The study shows interactions can mostly be discovered robustly, even in the presence of noise and spurious variables. A final validation on two UCI data sets further indicates the quality of the approach.
DownloadPaper Citation
in Harvard Style
Billiet L., Huffel S. and Belle V. (2016). Interval Coded Scoring Index with Interaction Effects - A Sensitivity Study . In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 33-40. DOI: 10.5220/0005646500330040
in Bibtex Style
@conference{icpram16,
author={Lieven Billiet and Sabine Van Huffel and Vanya Van Belle},
title={Interval Coded Scoring Index with Interaction Effects - A Sensitivity Study},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={33-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005646500330040},
isbn={978-989-758-173-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Interval Coded Scoring Index with Interaction Effects - A Sensitivity Study
SN - 978-989-758-173-1
AU - Billiet L.
AU - Huffel S.
AU - Belle V.
PY - 2016
SP - 33
EP - 40
DO - 10.5220/0005646500330040