Objective: Mammogram-based automatic breast cancer detection has a primary role in
accurate cancer diagnosis and treatment planning to save valuable lives. Mammography is …

Feature selection, which picks the optimal subset of characteristics related to the target data
by deleting unnecessary data, is one of the most important aspects of the machine learning …

Breast cancer death rates are higher than any other cancer in American women. Machine
learning-based predictive models promise earlier detection techniques for breast cancer …

Breast Cancer (BC) has become a critical illness with a high mortality rate during the
previous decade. It is considered the women's most common cancer. In this paper, we …

Numerous studies have shown that immune checkpoint inhibitor (ICI) immunotherapy has
great potential as a cancer treatment, leading to significant clinical improvements in …

This paper proposes Combining the Advantages of Radiomic features based Feature
Extraction and Hyper Parameters tuned Recalling Enhanced Recurrent Neural Network …

The evaluation of road safety is a critical issue having to be conducted for successful safety
management in road transport systems, whereas safety management is considered in road …

Breast diseases are a group of diseases that appear in different forms. An entire group of
these diseases is breast cancer. This disease is one of the most important and common …

Breast cancer is a major health issue for women all over the world. Effective care and better
patient outcomes depend on early identification and precise risk prediction. Ensemble …

In recent years, machine learning is attaining higher precision and accuracy in clinical heart
disease dataset classification. However, literature shows that the quality of heart disease …