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.

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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