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 …

Thyroid disease arises from an anomalous growth of thyroid tissue at the verge of the thyroid
gland. Thyroid disorderliness normally ensues when this gland releases abnormal amounts …

Breast cancer (BC) is a primary reason for death among the female population around the
world. Early identification can aid in decreasing the mortality rates associated with this …

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, which is also the leading cause of death among women, is one of the most
common forms of the disease that affects females all over the world. The discovery of breast …

Breast cancer becomes the second major cause of death among women cancer patients
worldwide. Based on research conducted in 2019, there are approximately 250,000 women …

One of the most prevalent forms of cancer among women worldwide is breast cancer, the
leading cause of mortality. The vital procedure of early breast cancer detection can help with …

Information security depends on Network Intrusion Detection (NID), which properly identifies
network threats. This work explores simulating a NID system by stacking ensemble …

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 …