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 …

[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 …

A novel integrated diagnosis method for breast cancer detection

A Ul Haq, JP Li, MH Memon, J Khan… - Journal of Intelligent & …, 2020 - content.iospress.com
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 …

[PDF][PDF] Breast cancer detection using machine learning approaches: a comparative study.

MA Elsadig, A Altigani, HT Elshoush - International Journal of …, 2023 - researchgate.net
As the cause of the breast cancer disease has not yet clearly identified and a method to
prevent its occurrence has not yet been developed, its early detection has a significant role …

[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 …

[PDF][PDF] A computer aided diagnosis system for breast cancer

A Osareh, B Shadgar - International Journal of Computer Science Issues …, 2011 - Citeseer
Breast cancer is one of the most prevalent cancers, ranking second only to lung cancer and
is the most prevalent form of cancer among worldwide women. Each year, about 1,000,000 …

Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms

B Zheng, SW Yoon, SS Lam - Expert Systems with Applications, 2014 - Elsevier
With the development of clinical technologies, different tumor features have been collected
for breast cancer diagnosis. Filtering all the pertinent feature information to support the …

Classification approach for breast cancer detection using back propagation neural network: a study

A Bhattacherjee, S Roy, S Paul, P Roy… - … image analysis and …, 2016 - igi-global.com
According to the recent surveys, breast cancer has become one of the major causes of
mortality rate among women. Breast cancer can be defined as a group of rapidly growing …

[PDF][PDF] Breast cancer detection using machine learning techniques

S Bhise, S Gadekar, AS Gaur, S Bepari… - Int. J. Eng. Res …, 2021 - academia.edu
Breast cancer is the most common reason for deaths due to cancer. It is very necessary to
detect cancer at early stages. There are various Machine Learning techniques available for …

Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis

A Sharma, PK Mishra - International Journal of Information Technology, 2022 - Springer
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 …