Breast cancer is among leading reasons for the deaths of women globally. Machine learning
techniques can help to classify breast cancer based on some features. In order to find a …

Abstract Machine learning is used in the health care sector due to its ability to make
predictions. Nowadays major cause of death in women is due to breast cancer. In this paper …

Breast cancer is one of the most common cancers among women in the world. Early
detection of breast cancer is essential in reducing their life losses. Data mining is the …

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 …

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 …

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 …

Feature selection in breast cancer disease important and risky task for further analysis.
Breast cancer is the second leading reason for death among the women. Cancer starts from …

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 …

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 …

Cancer is the common problem for all people in the world with all types. Particularly, Breast
Cancer is the most frequent disease as a cancer type for women. Therefore, any …