Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …

Abstract Machine learning algorithms need feature selection (FS) as a significant step
towards filtering unnecessary data. This paper proposes a wrapper FS approach that …

Artificial intelligence (AI) is rapidly shaping the global financial market and its services due to
the great competence that it has shown for analysis and modeling in many disciplines. What …

Heart disease is a significant public health problem, and early detection is crucial for
effective treatment and management. Conventional and noninvasive techniques are …

The amount of data for machine learning (ML) applications is constantly growing. Not only
the number of observations, especially the number of measured variables (features) …

Chronic kidney disease (CKD) refers to the gradual decline of kidney function over months
or years. Early detection of CKD is crucial and significantly affects a patient's decreasing …

Hyperspectral image (HSI) analysis has become one of the most active topics in the field of
remote sensing, which could provide powerful assistance for sensing a larger-scale …

Gene/feature selection is an essential preprocessing step for creating models using
machine learning techniques. It also plays a critical role in different biological applications …

Simple Summary Artificial intelligence techniques were used for the detection of prostate
cancer through tissue feature engineering. A radiomic method was used to extract the …

The analysis of a large amount of data with high dimensionality of rows and columns
increases the load of machine learning algorithms. Such data are likely to have noise and …