Support vector machines combined with feature selection for breast cancer diagnosis

MF Akay - Expert systems with applications, 2009 - Elsevier
Breast cancer is the second largest cause of cancer deaths among women. At the same
time, it is also among the most curable cancer types if it can be diagnosed early. Research …

Prediction model building and feature selection with support vector machines in breast cancer diagnosis

CL Huang, HC Liao, MC Chen - Expert Systems with Applications, 2008 - Elsevier
Breast cancer is a serious problem for the young women of Taiwan. Some medical
researches have proved that DNA viruses are one of the high-risk factors closely related to …

Support vector machine based diagnostic system for breast cancer using swarm intelligence

HL Chen, B Yang, G Wang, SJ Wang, J Liu… - Journal of medical …, 2012 - Springer
Breast cancer is becoming a leading cause of death among women in the whole world,
meanwhile, it is confirmed that the early detection and accurate diagnosis of this disease …

Breast cancer diagnosis using support vector machines optimized by whale optimization and dragonfly algorithms

AS Elkorany, M Marey, KM Almustafa… - IEEE …, 2022 - ieeexplore.ieee.org
Breast Cancer (BC) has become a critical illness with a high mortality rate during the
previous decade. It is considered the women's most common cancer. In this paper, we …

An LDA–SVM machine learning model for breast cancer classification

OJ Egwom, M Hassan, JJ Tanimu, M Hamada… - …, 2022 - mdpi.com
Breast cancer is a prevalent disease that affects mostly women, and early diagnosis will
expedite the treatment of this ailment. Recently, machine learning (ML) techniques have …

Performance analysis of support vector machines classifiers in breast cancer mammography recognition

AT Azar, SA El-Said - Neural Computing and Applications, 2014 - Springer
Support vector machine (SVM) is a supervised machine learning approach that was
recognized as a statistical learning apotheosis for the small-sample database. SVM has …

CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer

M Abdar, V Makarenkov - Measurement, 2019 - Elsevier
This paper presents a new data mining technique for an accurate prediction of breast cancer
(BC), which is one of the major mortality causes among women around the globe. The main …

[PDF][PDF] A comparative analysis of methods for detecting and diagnosing breast cancer based on data mining

AT Alhasani, H Alkattan, AA Subhi, ESM El-Kenawy… - Methods, 2023 - academia.edu
Breast cancer is a significant public health concern worldwide, and early detection is crucial
for its treatment. Although breast cancer has been extensively studied, there is still room for …

Breast cancer diagnosis using least square support vector machine

K Polat, S Güneş - Digital signal processing, 2007 - Elsevier
The use of machine learning tools in medical diagnosis is increasing gradually. This is
mainly because the effectiveness of classification and recognition systems has improved in …

Detection of breast cancer through clinical data using supervised and unsupervised feature selection techniques

AU Haq, JP Li, A Saboor, J Khan, S Wali… - IEEE …, 2021 - ieeexplore.ieee.org
Breast cancer is one the most critical disease and suffered many people around the world.
The efficient and correct detection of breast cancer is still needed to ensure this medical …