A Rule-based Method Applied to the Imbalanced Classification of Radiation Toxicity

Juan L. Domínguez-Olmedo, Jacinto Mata, Victoria Pachón, Jose L. Lopez-Guerra

2018

Abstract

This paper describes a rule-based classifier (DEQAR-C), which is set up by the combination of selected rules after a two-phase process. In the first phase, the rules are generated and sorted for each class, and then a selection is performed to obtain a final list of rules. A real imbalanced dataset regarding the toxicity during and after radiation therapy for prostate cancer has been employed in a comparison with other predictive methods (rule-based, artificial neural networks, trees, Bayesian and logistic regression). DEQAR-C produced excellent results in an evaluation regarding several performance measures (accuracy, Matthews correlation coefficient, sensitivity, specificity, precision, recall and F-measure) and by using cross-validation. Therefore, it was employed to obtain a predictive model using the full data. The resultant model is easily interpretable, combining three rules with two variables, and suggesting conditions that are mostly confirmed by the medical literature.

Paper Citation

in Harvard Style

Domínguez-Olmedo J., Mata J., Pachón V. and Lopez-Guerra J. (2018). A Rule-based Method Applied to the Imbalanced Classification of Radiation Toxicity. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF; ISBN 978-989-758-281-3, SciTePress, pages 147-155. DOI: 10.5220/0006586401470155

in Bibtex Style

@conference{healthinf18,
author={Juan L. Domínguez-Olmedo and Jacinto Mata and Victoria Pachón and Jose L. Lopez-Guerra},
title={A Rule-based Method Applied to the Imbalanced Classification of Radiation Toxicity},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF},
year={2018},
pages={147-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006586401470155},
isbn={978-989-758-281-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF
TI - A Rule-based Method Applied to the Imbalanced Classification of Radiation Toxicity
SN - 978-989-758-281-3
AU - Domínguez-Olmedo J.
AU - Mata J.
AU - Pachón V.
AU - Lopez-Guerra J.
PY - 2018
SP - 147
EP - 155
DO - 10.5220/0006586401470155
PB - SciTePress