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 …

The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …

Breast cancer is a disease in which the cells of the breast develop unnaturally and
uncontrollably, resulting in a mass called a tumor. If lumps in the breast are not addressed …

Breast cancer is still a major problem for medical research, science, and society. Breast
cancer is the most common form of cancer among women and has a high rate of mortality …

Adaboost is a mental health prediction method that utilizes an integrated learning algorithm
to address the current state of mental health issues among graduates in the workforce. The …

Recently, significant attention has been given to using machine learning (ML) and data
mining algorithms for diagnosing breast cancer (BC). However, many of these efforts still …

The utilisation of DM (Data Mining) and ML (Machine Learning) approaches in the BC
(Breast Cancer) diagnosis has recently gained a lot of consideration. However, most of …

Currently, the construction of models of poorly formalized processes that are closer to the
human thinking process is one of the urgent tasks facing science. When interpreting and …

Cancer is one of the leading causes of human mortality and breast cancer deaths are
particularly common among women. Early diagnosis of breast cancer is considered a key …

Breast cancer is one of the life-threatening cancer that leads to the most death due to cancer
among women. Early diagnosis might help to reduce mortality. Thus, this research aims to …