As a common screening and diagnostic tool, Fine Needle Aspiration Biopsy (FNAB) of the
suspicious breast lumps can be used to distinguish between malignant and benign breast …

Breast cancer is the second cause of death among women. Early prediction of breast cancer
will help with the survival of breast cancer patients. Data mining and machine learning have …

Radial Based Function Neural Network models (RBFNN) are currently used deep-rooted
methods for assessing the stages of diagnosis of chronic diseases. The goals of this …

Computational based classification of gene expression data for analyzing the genetic
pattern provides better clinical prediction for breast cancer. Breast cancer is one of the …

This paper presents a comparative evaluation of classification algorithms using Waikato
Environment for Knowledge Analysis (WEKA) software. The main goal of the paper is to …

Breast cancer is the most prevalent type of cancer, because of which a large and
disproportionate number of deaths occur every year, especially in women. Breast cancer is …

Breast cancer remains a formidable global health challenge, demanding innovative
approaches for early detection, accurate diagnosis, and personalised treatment. This …

5.1. 1 Motivation and Our Contributions Breast cancer survival rates have increased, and the
number of deaths associated with this disease is steadily declining, largely due to factors …

Objective: Breast cancer is the type of cancer that causes the most death in women in the
United States after lung cancer. The objective of this study was to predict breast biopsy …

Methods of data mining classification are used in various fields of research. Naive Bayes is
one of the most used algorithms of data mining classification, especially in the medical …