[HTML][HTML] Feature selection using correlation analysis and principal component analysis for accurate breast cancer diagnosis
Breast cancer is one of the leading causes of death among women, more so than all other
cancers. The accurate diagnosis of breast cancer is very difficult due to the complexity of the …
cancers. The accurate diagnosis of breast cancer is very difficult due to the complexity of the …
Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis
Healthcare systems around the world are facing huge challenges in responding to trends of
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
[HTML][HTML] Mammography image-based diagnosis of breast cancer using machine learning: a pilot study
A tumor is an abnormal tissue classified as either benign or malignant. A breast tumor is one
of the most common tumors in women. Radiologists use mammograms to identify a breast …
of the most common tumors in women. Radiologists use mammograms to identify a breast …
Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system
One of the essential data pre-processing methods for enhancing the performance of
machine learning (ML) models is feature selection. Because they choose the most optimal …
machine learning (ML) models is feature selection. Because they choose the most optimal …
Decision support for breast cancer detection: classification improvement through feature selection
Several statistical-based approaches have been developed to support medical personnel in
early breast cancer detection. This article presents a method for feature selection aimed at …
early breast cancer detection. This article presents a method for feature selection aimed at …
Detection of breast cancer through clinical data using supervised and unsupervised feature selection techniques
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 …
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
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 …
has been established that early diagnosis with accurate results can ensure the prolonged …
Breast cancer classification with reduced feature set using association rules and support vector machine
A Ed-daoudy, K Maalmi - Network Modeling Analysis in Health Informatics …, 2020 - Springer
In the last few years, machine learning is one of the driving forces of science and industry,
but increasing of data requires paradigm shifts in traditional methods in the application of …
but increasing of data requires paradigm shifts in traditional methods in the application of …
[HTML][HTML] Machine learning-based diagnosis of breast cancer utilizing feature optimization technique
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 …
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …
[HTML][HTML] Breast tumor classification using an ensemble machine learning method
Breast cancer is the most common cause of death for women worldwide. Thus, the ability of
artificial intelligence systems to detect possible breast cancer is very important. In this paper …
artificial intelligence systems to detect possible breast cancer is very important. In this paper …