Insights into the Potential of Fuzzy Systems for Medical AI Interpretability

Hafsaa Ouifak, Ali Idri, Ali Idri

2024

Abstract

Machine Learning (ML) solutions have demonstrated significant improvements across various domains. However, the complete integration of ML solutions into critical fields such as medicine is facing one main challenge: interpretability. This study conducts a systematic mapping to investigate primary research focused on the application of fuzzy logic (FL) in enhancing the interpretability of ML black-box models in medical contexts. The mapping covers the period from 1994 to January 2024, resulting in 67 relevant publications from multiple digital libraries. The findings indicate that 60% of selected studies proposed new FL-based interpretability techniques, while 40% of them evaluated existing techniques. Breast cancer emerged as the most frequently studied disease using FL interpretability methods. Additionally, TSK neuro-fuzzy systems were identified as the most employed systems for enhancing interpretability. Future research should aim to address existing limitations, including the challenge of maintaining interpretability in ensemble methods

Paper Citation

in Harvard Style

Ouifak H. and Idri A. (2024). Insights into the Potential of Fuzzy Systems for Medical AI Interpretability. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-716-0, SciTePress, pages 525-532. DOI: 10.5220/0013072900003838

in Bibtex Style

@conference{kdir24,
author={Hafsaa Ouifak and Ali Idri},
title={Insights into the Potential of Fuzzy Systems for Medical AI Interpretability},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2024},
pages={525-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013072900003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - Insights into the Potential of Fuzzy Systems for Medical AI Interpretability
SN - 978-989-758-716-0
AU - Ouifak H.
AU - Idri A.
PY - 2024
SP - 525
EP - 532
DO - 10.5220/0013072900003838
PB - SciTePress