Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …

Breast cancer is the commonest type of cancer in women worldwide and the leading cause
of mortality for females. The aim of this research is to classify the alive and death status of …

Class imbalance is a common issue while develo** classification models. In order to
tackle this problem, synthetic data have recently been developed to enhance the minority …

Autonomous vehicles (AVs) represent an exciting frontier in transportation, promising
increased safety and efficiency on the roads. However, like any technological advancement …

There is an ongoing public health crisis connected to lung and breast cancers worldwide,
which requires advances in early detection technologies to improve patient outcomes. There …

Breast cancer (BC) is a catastrophic global health concern that causes numerous fatalities
worldwide. Early detection of breast cancer may mitigate death rates; however, the …

Diabetes is a persistent health condition led by insufficient use or inappropriate use of
insulin in the body. If left undetected, it can lead to further complications involving organ …

Thyroid disease presents a significant health risk, lowering the quality of life and increasing
treatment costs. The diagnosis of thyroid disease can be challenging, especially for …

Lumbar spine stenosis (LSS) is caused by low back pain that exerts pressure on the nerves
in the spine. Detecting LSS is a significantly important yet difficult task. It is detected by …

PURPOSE Adverse effects of chemotherapy often require hospital admissions or treatment
management. Identifying factors contributing to unplanned hospital utilization may improve …