Machine learning and data mining have established several effective applications in gene
selection analysis. This paper review semi-supervised learning algorithms and gene …

Deep Learning (DL) has rapidly become a methodology of choice for analyzing medical
images and increasingly attracts researchers' attention in the medical research community …

While beauty is subjective, it is not easy to quantify. Assessing facial beauty based on a
computer perspective is an emerging research area with various applications. Different …

Researchers have increasingly focused on applying machine learning algorithms to
enhance healthcare operations in the past few years. Machine learning has become …

Heart plays a crucial role in all forms of life. Heart-related disorders demand higher
precision, consistency, and accuracy in diagnosis and prognosis because even a small …

The article emphasizes the critical need for early and accurate diagnosis of cardiovascular
disease (CVD), a leading cause of global mortality. Recent advancements in machine …

Cardiovascular disorders are one of the major causes of sudden death among older and
middle-aged people. Over the past two decades, health monitoring services have evolved …

Coronary diseases affect a large part of the world population and have become the target of
significant research in the academic field. The creation and use of intelligent models to …

In the realm of obstetrics, the evaluation of fetal health remains a paramount yet challenging
endeavor. Traditional approaches, such as electronic fetal monitoring (EFM), despite their …

With the increased growth of developed software in daily life, there is an urgent need to
predict software defects. The aim of this study is to compare the performance of three …