Breast cancer classification using machine learning

M Amrane, S Oukid, I Gagaoua… - 2018 electric electronics …, 2018 - ieeexplore.ieee.org
During their life, among 8% of women are diagnosed with Breast cancer (BC), after lung
cancer, BC is the second popular cause of death in both developed and undeveloped …

Advancement in machine learning: A strategic lookout from cancer identification to treatment

M Bhatt, P Shende - Archives of Computational Methods in Engineering, 2023 - Springer
Abstract Machine learning is an established data interpretation tool for the development of
processing, extracting and extrapolating evocative results from complex data sets. Data …

Breast cancer diagnosis using the fast learning network algorithm

MAA Albadr, M Ayob, S Tiun, FT Al-Dhief… - Frontiers in …, 2023 - frontiersin.org
The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …

Comparative Evaluation of Machine Learning Algorithms in Breast Cancer

BF Abdulrahman, RS Hawezi, SMN MR… - Qalaai Zanist …, 2022 - journal.lfu.edu.krd
Breast cancer is one of the world's leading causes of mortality in women and is due to
uncontrollable breast cell growth. Early detection and proper care are the only means of …

[PDF][PDF] An evaluation of the Wisconsin breast cancer dataset using ensemble classifiers and RFE feature selection

SA Abdulkareem, ZO Abdulkareem - Int. J. Sci., Basic Appl. Res., 2021 - core.ac.uk
Breast cancer represents one of the deadliest diseases that records a high number of death
rate annually. It is the most common type of cancer and the main cause of death among …

Extreme Learning machine algorithm for breast Cancer diagnosis

I kadhim ajlan, H Murad, AA Salim… - Multimedia Tools and …, 2024 - Springer
Recently, significant attention has been given to using machine learning (ML) and data
mining algorithms for diagnosing breast cancer (BC). However, many of these efforts still …

Evaluating and enhancing the performance of skin disease classification based on ensemble methods

M Pal, BR Roy - 2020 2nd International Conference on …, 2020 - ieeexplore.ieee.org
Nowadays, people of all ages are suffering from various diseases. Skin cancer is one of the
most common problem and it seriously impacts on human life and health. Fungal infection …

Online sequential extreme learning machine approach for breast cancer diagnosis

MAA Albadr, FT AL-Dhief, L Man, A Arram… - Neural Computing and …, 2024 - Springer
The utilisation of DM (Data Mining) and ML (Machine Learning) approaches in the BC
(Breast Cancer) diagnosis has recently gained a lot of consideration. However, most of …

[PDF][PDF] Comparative study of machine learning algorithms for breast cancer prediction-a review

A Yadav, I Jamir, RR Jain, M Sohani - International Journal of …, 2019 - academia.edu
Cancer has been characterized as one of the leading diseases that causes death in
humans. Breast cancer being a subtype of cancer causes death in one out of every eight …

Machine learning algorithms for diagnosis of breast cancer

R Negi, R Mathew - Proceeding of the International Conference on …, 2020 - Springer
Abstract Machine learning is applied on systems for sequence and trend recognition,
incomprehensible by humans or traditional programming, as they efficiently utilize the …