A breast cancer diagnosis method based on VIM feature selection and hierarchical clustering random forest algorithm
Z Huang, D Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Breast cancer is a neoplastic disease which seriously threatens women's health. It is regard
as the most common cause of cancer death in women. Accurate detection and effective …
as the most common cause of cancer death in women. Accurate detection and effective …
[PDF][PDF] A comparative analysis of methods for detecting and diagnosing breast cancer based on data mining
AT Alhasani, H Alkattan, AA Subhi, ESM El-Kenawy… - Methods, 2023 - academia.edu
Breast cancer is a significant public health concern worldwide, and early detection is crucial
for its treatment. Although breast cancer has been extensively studied, there is still room for …
for its treatment. Although breast cancer has been extensively studied, there is still room for …
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 …
[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 …
Predicting breast cancer from risk factors using SVM and extra-trees-based feature selection method
Developing a prediction model from risk factors can provide an efficient method to recognize
breast cancer. Machine learning (ML) algorithms have been applied to increase the …
breast cancer. Machine learning (ML) algorithms have been applied to increase the …
Support vector machines combined with feature selection for breast cancer diagnosis
MF Akay - Expert systems with applications, 2009 - Elsevier
Breast cancer is the second largest cause of cancer deaths among women. At the same
time, it is also among the most curable cancer types if it can be diagnosed early. Research …
time, it is also among the most curable cancer types if it can be diagnosed early. Research …
Tree‐Based and Machine Learning Algorithm Analysis for Breast Cancer Classification
Breast cancer (BC) is the second leading cause of death in developed and developing
nations, accounting for 8% of deaths after lung cancer. Gene mutation, constant pain, size …
nations, accounting for 8% of deaths after lung cancer. Gene mutation, constant pain, size …
An automated breast cancer diagnosis using feature selection and parameter optimization in ANN
Detecting and treating breast cancer at earlier stages is highly proved to improve the
survival rate of breast cancer patients as breast cancer is considered a major cause of death …
survival rate of breast cancer patients as breast cancer is considered a major cause of death …
[HTML][HTML] Random forest classifier combined with feature selection for breast cancer diagnosis and prognostic
C Nguyen, Y Wang, HN Nguyen - 2013 - scirp.org
As the incidence of this disease has increased significantly in the recent years, expert
systems and machine learning techniques to this problem have also taken a great attention …
systems and machine learning techniques to this problem have also taken a great attention …
A novel integrated diagnosis method for breast cancer detection
The effective detection of breast cancer is particularly essential for recovery and treatment in
the initial phases. The existing methods are not successfully diagnosis breast cancer in the …
the initial phases. The existing methods are not successfully diagnosis breast cancer in the …