Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder

Henrique R. Hott, Caroline R. Jandre, Pedro H. S. Xavier, Amal Miloud-Aouidate, Débora M. Miranda, Mark A. Song, Luis E. Zárate, Cristiane N. Nobre

2022

Abstract

Instance Selection (IS) helps select the most notable instances from the database, improving its characterization and relevance. In this context, this article applies the IS, using the Ant Colony Optimization (ACO) heuristic, to obtain more efficient classification models in the identification of school performance, in arithmetic, writing, and reading, of children and adolescents with Attention-Deficit/Hyperactivity Disorder (ADHD), characterized by excessive symptoms of inattention, hyperactivity, and impulsivity. The Random Forest, Neural Networks, KNN, and CART classifiers were used to evaluate the performance of the selection performed by the ACO method. With the ACO, it was possible to obtain a gain of 20 percentage points with the KNN (K = 1), in arithmetic, in the metric F-measure, referring to the upper class, the minority class. The results achieved show the excellent efficiency of the ACO in this study.

Paper Citation

in Harvard Style

Hott H., Jandre C., Xavier P., Miloud-Aouidate A., Miranda D., Song M., Zárate L. and Nobre C. (2022). Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF; ISBN 978-989-758-552-4, SciTePress, pages 103-110. DOI: 10.5220/0010843000003123

in Bibtex Style

@conference{healthinf22,
author={Henrique R. Hott and Caroline R. Jandre and Pedro H. S. Xavier and Amal Miloud-Aouidate and Débora M. Miranda and Mark A. Song and Luis E. Zárate and Cristiane N. Nobre},
title={Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF},
year={2022},
pages={103-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010843000003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF
TI - Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder
SN - 978-989-758-552-4
AU - Hott H.
AU - Jandre C.
AU - Xavier P.
AU - Miloud-Aouidate A.
AU - Miranda D.
AU - Song M.
AU - Zárate L.
AU - Nobre C.
PY - 2022
SP - 103
EP - 110
DO - 10.5220/0010843000003123
PB - SciTePress