Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …

Anatomic pathology has changed dramatically in recent years. Although the microscopic
assessment of tissues and cells is and will remain the mainstay of cancer diagnosis …

Abstract Knowledge discovery in databases (KDD) is crucial in analyzing data to extract
valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in …

Cancer is caused by the un-controlled division of abnormal cells in a body part. Various
cancers exist in this world and one amongst them is breast cancer. Breast cancer (BC) …

Terminal cancer is not curable and eventually results in death. Breast cancer (BC) is a
prevalent malignancy affecting women. Although there are prognostic indicators, BC …

Data mining (DM) consists in analysing a set of observations to find unsuspected
relationships and then summarising the data in new ways that are both understandable and …

Breast cancer is among the most common cancers women got, which can be effectively
cured providing that it is diagnosed at the early stages. In the current study, we attempted to …

In the field of assisted cancer diagnosis, it is expected that the involvement of machine
learning in diseases will give doctors a second opinion and help them to make a …

Breast cancer prediction datasets are usually class imbalanced, where the number of data
samples in the malignant and benign patient classes are significantly different. Over …

This study focused on exploiting machine learning algorithms for classifying and predicting
injury severity of vehicle crashes in Yemen. The primary objective is to assess the …