Breast cancer screening based on supervised learning and multi-criteria decision-making
On average, breast cancer kills one woman per minute. However, there are more reasons
for optimism than ever before. When diagnosed early, patients with breast cancer have a …
for optimism than ever before. When diagnosed early, patients with breast cancer have a …
[PDF][PDF] Comparison of machine learning models for breast cancer diagnosis
Breast cancer is the most common cause of death among women worldwide. Breast cancer
can be detected early, and the death rate can be reduced. Machine learning (ML) …
can be detected early, and the death rate can be reduced. Machine learning (ML) …
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 …
Comparison of the performance of machine learning algorithms in breast cancer screening and detection: A protocol
Z Salod, Y Singh - Journal of public health research, 2019 - journals.sagepub.com
Background Breast Cancer (BC) is a known global crisis. The World Health Organization
reports a global 2.09 million incidences and 627,000 deaths in 2018 relating to BC. The …
reports a global 2.09 million incidences and 627,000 deaths in 2018 relating to BC. The …
[HTML][HTML] A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and …
Breast cancer is the most common life-threatening cancer in women and one of the leading
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
Breast Cancer Screening Using Machine Learning Models
The main objective of this paper is the development of an Algorithm for Boolean Breast
Cancer Classification based on 116 patients with results by testing blood along with physical …
Cancer Classification based on 116 patients with results by testing blood along with physical …
Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer
The objective of this paper was to perform a comparative analysis of the computational
intelligence algorithms to identify breast cancer in its early stages. Two types of data …
intelligence algorithms to identify breast cancer in its early stages. Two types of data …
[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 …
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 …
Machine Learning-Based Relative Performance Analysis for Breast Cancer Prediction
The current high population growth in medical research has made early disease
identification an urgent issue. The danger of dying from breast cancer is increasing …
identification an urgent issue. The danger of dying from breast cancer is increasing …