Breast cancer prediction using fine needle aspiration features and upsampling with supervised machine learning

R Shafique, F Rustam, GS Choi, IT Díez, A Mahmood… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is prevalent in women and the second leading cause of
death. Conventional breast cancer detection methods require several laboratory tests and …

[HTML][HTML] Application of machine learning algorithms in breast cancer diagnosis and classification

CG Yedjou, SS Tchounwou, RA Aló… - … journal of science …, 2021 - ncbi.nlm.nih.gov
Breast cancer continues to be the most frequent cancer in females, affecting about one in 8
women and causing the highest number of cancer-related deaths in females worldwide …

Breast cancer prediction: a comparative study using machine learning techniques

MM Islam, MR Haque, H Iqbal, MM Hasan… - SN Computer …, 2020 - Springer
Early detection of disease has become a crucial problem due to rapid population growth in
medical research in recent times. With the rapid population growth, the risk of death incurred …

[HTML][HTML] Machine learning-based diagnosis of breast cancer utilizing feature optimization technique

KMM Uddin, N Biswas, ST Rikta, SK Dey - Computer Methods and …, 2023 - Elsevier
Breast cancer disease is recognized as one of the leading causes of death in women
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …

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 …

Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm

JB Awotunde, R Panigrahi, B Khandelwal… - Research on Biomedical …, 2023 - Springer
Purpose One of the leading causes of death among women is breast cancer. However, it
has been established that early diagnosis with accurate results can ensure the prolonged …

[PDF][PDF] Diagnosis of breast cancer using decision tree and artificial neural network algorithms

A Higa - cell, 2018 - ijcatr.com
Breast Cancer Diagnosis and Prognosis are two medical applications which have posed a
challenge to the researchers. The use of machine learning and data mining techniques has …

Early detection of breast cancer using machine learning techniques

M Tahmooresi, A Afshar, BB Rad… - Journal of …, 2018 - jtec.utem.edu.my
Cancer is the second cause of death in the world. 8.8 million patients died due to cancer in
2015. Breast cancer is the leading cause of death among women. Several types of research …

Comparing the performance of various supervised machine learning techniques for early detection of breast cancer

MK Abiodun, S Misra, JB Awotunde, S Adewole… - … conference on hybrid …, 2021 - Springer
Cancer is a fatal disease that is constantly changing and affects a vast number of individuals
worldwide. At the research level, much work has gone into the creation and improvement of …

[PDF][PDF] An analysis on breast disease prediction using machine learning approaches

FMJM Shamrat, MA Raihan, A Rahman… - International Journal of …, 2020 - academia.edu
The central aspect of this study is to evaluate the different Machine learning classifier's
performance for the prediction of breast cancer disease. In this work, we have used six …