Whale Optimization-based Prediction for Medical Diagnostic

Ali Hosseinabadi, Mehdi Sadeghilalimi, Morteza Shareh, Malek Mouhoub, Samira Sadaoui

2022

Abstract

This study aims to improve disease detection accuracy by incorporating a discrete version of the Whale Optimization Algorithm (WOA) into a supervised classification framework (KNN). We devise the discrete WOA by redefining the related components to operate on discrete spaces. More precisely, we redefine the notion of distance (between individuals in WOA), and propose a random exploration function to include more diversity. The latter includes the random move defined in the WOA algorithm, as well as two other random techniques based on the crossover and mutation operators. To assess the performance of our proposed method, we conducted experiments on two benchmark medical datasets. The results demonstrate the efficacy of the hybrid approach, WOA+KNN.

Paper Citation

in Harvard Style

Hosseinabadi A., Sadeghilalimi M., Shareh M., Mouhoub M. and Sadaoui S. (2022). Whale Optimization-based Prediction for Medical Diagnostic. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-547-0, pages 211-217. DOI: 10.5220/0010802200003116

in Bibtex Style

@conference{icaart22,
author={Ali Hosseinabadi and Mehdi Sadeghilalimi and Morteza Shareh and Malek Mouhoub and Samira Sadaoui},
title={Whale Optimization-based Prediction for Medical Diagnostic},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2022},
pages={211-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010802200003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Whale Optimization-based Prediction for Medical Diagnostic
SN - 978-989-758-547-0
AU - Hosseinabadi A.
AU - Sadeghilalimi M.
AU - Shareh M.
AU - Mouhoub M.
AU - Sadaoui S.
PY - 2022
SP - 211
EP - 217
DO - 10.5220/0010802200003116