Homogeneous adaboost ensemble machine learning algorithms with reduced entropy on balanced data
Today's world faces a serious public health problem with cancer. One type of cancer that
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …
A two-stage feature selection approach using hybrid quasi-opposition self-adaptive coati optimization algorithm for breast cancer classification
K Thirumoorthy - Applied Soft Computing, 2023 - Elsevier
Breast cancer (BC) is one of the leading causes of high mortality rates among women. An
early disease diagnosis is crucial in breast cancer's treatment for improving the survival rate …
early disease diagnosis is crucial in breast cancer's treatment for improving the survival rate …
A feature selection model for software defect prediction using binary Rao optimization algorithm
K Thirumoorthy - Applied Soft Computing, 2022 - Elsevier
In this digital world, using software has become an important part of daily life and business.
The software must be rigorously tested in order to avert a financial crisis. The defect-free …
The software must be rigorously tested in order to avert a financial crisis. The defect-free …
[PDF][PDF] Breast cancer prediction using machine learning
R Rawal - Journal of Emerging Technologies and Innovative …, 2020 - researchgate.net
Women are seriously threatened by breast cancer with high morbidity and mortality. The lack
of robust prognosis models results in difficulty for doctors to prepare a treatment plan that …
of robust prognosis models results in difficulty for doctors to prepare a treatment plan that …
Breast tumour detection using machine learning: review of selected methods from 2015 to 2021
G Sharma, N Jindal - Multimedia Tools and Applications, 2022 - Springer
Breast tumour is one of the leading causes of death among women worldwide. Researchers
are working hard to develop early and improved detection tools for breast tumour. Several …
are working hard to develop early and improved detection tools for breast tumour. Several …
Machine learning techniques for identification of carcinogenic mutations, which cause breast adenocarcinoma
Breast adenocarcinoma is the most common of all cancers that occur in women. According
to the United States of America survey, more than 282,000 breast cancer patients are …
to the United States of America survey, more than 282,000 breast cancer patients are …
An efficient ensemble method using K-fold cross validation for the early detection of benign and malignant breast cancer
TR Mahesh, AC Kaladevi, JM Balajee… - International …, 2022 - publisher.uthm.edu.my
In comparison to all other malignancies, breast cancer is the most common form of cancer,
among women. Breast cancer prediction has been studied by several researchers and is …
among women. Breast cancer prediction has been studied by several researchers and is …
Deep learning approaches for detection of breast adenocarcinoma causing carcinogenic mutations
Genes are composed of DNA and each gene has a specific sequence. Recombination or
replication within the gene base ends in a permanent change in the nucleotide collection in …
replication within the gene base ends in a permanent change in the nucleotide collection in …
Review of intelligent algorithms for breast cancer control: A Latin America perspective
JM Valencia-Moreno… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Breast cancer in women is a worldwide health problem that is one of the main causes of
death. This situation is accentuated in Latin America and the Caribbean countries, where …
death. This situation is accentuated in Latin America and the Caribbean countries, where …
A machine learning based approach to enhance MOOC users' classification
Y Mourdı, M Sadgal, WB Fathı… - Turkish Online Journal of …, 2020 - dergipark.org.tr
At the beginning of the 2010 decade, the world of education and more specifically e-learning
was revolutionized by the emergence of Massive Open Online Courses, better known by …
was revolutionized by the emergence of Massive Open Online Courses, better known by …