Proposing an integrated method based on fuzzy tuning and ICA techniques to identify the most influencing features in breast cancer

Joint Authors

Masoudiasl, Irvan
Vahdat, Shaghayeh
Husam, Sumayyah
Shamshirb, Shihab al-Din
Alinejad Rokny, Hamid

Source

Iranian Red Crescent Medical Journal

Issue

Vol. 21, Issue 9 (30 Sep. 2019), pp.1-11, 11 p.

Publisher

Iranian Hospital

Publication Date

2019-09-30

Country of Publication

United Arab Emirates

No. of Pages

11

Main Subjects

Medicine

Topics

Abstract EN

Background: Breast cancer is the most common cancer in women, which has not been completely cured yet.

The traditional approaches have low accuracy for breast cancer detection.

However, intelligent techniques have been recently used in medical research to distinguish infected individuals from healthy ones, accurately.

Objectives: In this study, we aim to develop an ensemble machine learning (ML) method to distinguish tumor samples from healthy samples robustly.

Methods: We used an Imperial Competitive Algorithm coupled with a Fuzzy System (ICA-Fuzzy-SR) to identify the most influencing features to recognize tumor samples.

To evaluate the proposed method, we used the publicly available Wisconsin Breast Cancer Dataset (WBCD).

Results: Benchmarking with the current existing leading methods indicates that our proposed method achieves 95.45% prediction accuracy, which is 3% better than those reported in previous studies.

Conclusions: Such results achieve while our model is significantly faster than previously proposed models to solve this problem.

American Psychological Association (APA)

Masoudiasl, Irvan& Vahdat, Shaghayeh& Husam, Sumayyah& Shamshirb, Shihab al-Din& Alinejad Rokny, Hamid. 2019. Proposing an integrated method based on fuzzy tuning and ICA techniques to identify the most influencing features in breast cancer. Iranian Red Crescent Medical Journal،Vol. 21, no. 9, pp.1-11.
https://search.emarefa.net/detail/BIM-898345

Modern Language Association (MLA)

Masoudiasl, Irvan…[et al.]. Proposing an integrated method based on fuzzy tuning and ICA techniques to identify the most influencing features in breast cancer. Iranian Red Crescent Medical Journal Vol. 21, no. 9 (Sep. 2019), pp.1-11.
https://search.emarefa.net/detail/BIM-898345

American Medical Association (AMA)

Masoudiasl, Irvan& Vahdat, Shaghayeh& Husam, Sumayyah& Shamshirb, Shihab al-Din& Alinejad Rokny, Hamid. Proposing an integrated method based on fuzzy tuning and ICA techniques to identify the most influencing features in breast cancer. Iranian Red Crescent Medical Journal. 2019. Vol. 21, no. 9, pp.1-11.
https://search.emarefa.net/detail/BIM-898345

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 10-11

Record ID

BIM-898345