Breast Cancer Detection Using a Syrian Biomarkers Dataset and Machine Learning Algorithms

Authors

  • Hiba Allah Essa Engineer, Department of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus University
  • ‪Mhd Firas ‬ AlHinnawi Professor, Department of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus University.

Keywords:

Breast cancer, feed-forward neural networks, biomarkers, machine learning

Abstract

Breast cancer is the most common type of cancer that affects women worldwide. The development of spectral analysis techniques and devices for

blood analysis enhanced the use of biomarkers and what they can help in classifying, diagnosing and predicting the presence of cancers and malignant tumors. Recently, machine learning algorithms have been used with biomarkers in the diagnosis and detection of breast cancer. This research aims to create a Syrian dataset of biomarkers from Syrian hospitals and laboratories. The Syrian dataset is used to detect breast cancer using feed-forward neural networks (FNN), support vector machine (SVM) and the k-nearest neighbours algorithm (K-NN). The test performance showed that the FNN gives the best accuracy with a value of 95%, a sensitivity of 95.2% and a specificity of 94.7%. The SVM model gave an accuracy of 92.5% and a specificity of 95.2%. Compared to related work, the Syrian dataset shows the efficiency of obtained biomarkers in detecting breast cancer.

Downloads

Download data is not yet available.

Author Biographies

  • Hiba Allah Essa, Engineer, Department of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus University

    Engineer, Department of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus University

  • ‪Mhd Firas ‬ AlHinnawi, Professor, Department of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus University.

    Professor, Department of Biomedical Engineering, Faculty of Mechanical and Electrical Engineering, Damascus University.

Downloads

Published

2025-08-26

Issue

Vol. 41 No. 3 (2025): Damascus University Journal for engineering sciences

Section

المقالات

How to Cite

Breast Cancer Detection Using a Syrian Biomarkers Dataset and Machine Learning Algorithms. (2025). Damascus University Journal for Engineering Sciences, 41(3). https://journal.damascusuniversity.edu.sy/index.php/engj/article/view/8521