Prediction of breast cancer, comparative review of machine learning techniques, and their analysis

N Fatima, L Liu, S Hong, H Ahmed - IEEE Access, 2020 - ieeexplore.ieee.org
Breast cancer is type of tumor that occurs in the tissues of the breast. It is most common type
of cancer found in women around the world and it is among the leading causes of deaths in …

Machine learning algorithms for breast cancer prediction and diagnosis

MA Naji, S El Filali, K Aarika, ELH Benlahmar… - Procedia Computer …, 2021 - Elsevier
Each year number of deaths is increasing extremely because of breast cancer. It is the most
frequent type of all cancers and the major cause of death in women worldwide. Any …

BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm

S Abbas, Z Jalil, AR Javed, I Batool, MZ Khan… - PeerJ Computer …, 2021 - peerj.com
Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …

[HTML][HTML] A comprehensive review study on: optimized data mining, machine learning and deep learning techniques for breast cancer prediction in big data context

M Kirola, M Memoria, A Dumka… - Biomedical and …, 2022 - biomedpharmajournal.org
In recent years, big data in health care is commonly used for the prediction of diseases. The
most common cancer is breast cancer infections of metropolitan Indian women as well as in …

Malignant and benign breast cancer classification using machine learning algorithms

S Ara, A Das, A Dey - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
At the moment, the most prevalent form of cancer diagnosed in women across the globe is
breast cancer. It develops in the breast tissue and is one of the most frequent causes of …

[HTML][HTML] The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification

TR Mahesh, O Geman, M Margala, M Guduri - Healthcare Analytics, 2023 - Elsevier
Breast cancer is one of the most common causes of death among women, and early
diagnosis is vital for reducing the fatality rate. This study evaluates the most widely used …

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 …

Expert cancer model using supervised algorithms with a LASSO selection approach

P Ghosh, A Karim, ST Atik, S Afrin… - … Journal of Electrical …, 2021 - researchers.cdu.edu.au
One of the most critical issues of the mortality rate in the medical field in current times is
breast cancer. Nowadays, a large number of men and women are facing cancer-related …

Machine learning based intelligent system for breast cancer prediction (MLISBCP)

AK Das, SK Biswas, A Mandal, A Bhattacharya… - Expert Systems with …, 2024 - Elsevier
Risks of death from Breast Cancer (BC) are drastically rising in recent years. The diagnosis
of breast cancer is time-consuming due to the limited availability of diagnostic systems such …

A cloud-based predictive model for the detection of breast cancer

K Pathoee, D Rawat, A Mishra, V Arya… - International Journal of …, 2022 - igi-global.com
Invasive cancer is the biggest cause of death worldwide, especially among women. Early
cancer detection is vital to health. Early identification of breast cancer improves prognosis …