Enhanced Breast Cancer Risk Classification Through Genetic Algorithm-Based Feature Selection and Machine Learning Techniques

Aynur Yonar; Harun Yonar; Öznur Özaltın

doi:10.17776/csj.1443598

EN

Enhanced Breast Cancer Risk Classification Through Genetic Algorithm-Based Feature Selection and Machine Learning Techniques

Abstract

Breast cancer remains one of the leading causes of mortality among women worldwide and represents a major global health challenge. Accurate classification of breast tumors as benign or malignant is therefore of critical importance for timely diagnosis and effective treatment. This study aims to enhance breast cancer risk classification by integrating machine learning (ML) techniques with a genetic algorithm-based feature selection method. Initially, multiple ML algorithms are applied to features extracted from digitized images obtained through fine-needle aspiration (FNA) of breast masses. Subsequently, a genetic algorithm-based feature selection approach is employed to identify a subset of the most discriminative features. The results demonstrate that ML models utilizing the feature subsets selected by the genetic algorithm consistently achieve higher classification accuracy compared to their baseline counterparts. This highlights the effectiveness of the proposed feature selection strategy in improving the discriminative capacity of ML models. Beyond the observed improvements in accuracy, the refined ML models developed in this study show potential for more precise and reliable breast cancer diagnoses. By enhancing the performance of ML-based decision support systems, the genetic algorithm-based feature selection approach may contribute to the advancement of personalized treatment strategies in breast cancer care.

Keywords

References

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Details

Primary Language

English

Subjects

Biostatistics , Applied Statistics , Operation

Journal Section

Research Article

Authors

Aynur Yonar ^*
0000-0003-1681-9398
Türkiye

Harun Yonar
0000-0003-1574-3993
Türkiye

Öznur Özaltın
0000-0001-9841-1702
Türkiye

Publication Date

June 30, 2025

Submission Date

February 27, 2024

Acceptance Date

June 3, 2025

Published in Issue

Year 2025 Volume: 46 Number: 2

DOI

https://doi.org/10.17776/csj.1443598

IZ

https://izlik.org/JA96AL56GE

Cite

RIS / Bibtex

APA

Yonar, A., Yonar, H., & Özaltın, Ö. (2025). Enhanced Breast Cancer Risk Classification Through Genetic Algorithm-Based Feature Selection and Machine Learning Techniques. Cumhuriyet Science Journal, 46(2), 369-376. https://doi.org/10.17776/csj.1443598