In data mining and machine learning, feature selection is a critical part of the process of
selecting the optimal subset of features based on the target data. There are 2n potential …

A novel genetic algorithm-based feature selection approach is incorporated and based on
these features, four different ML methods were investigated. According to the findings, ML …

Microarray gene expression data are often accompanied by a large number of genes and a
small number of samples. However, only a few of these genes are relevant to cancer …

Many health systems over the world have collapsed due to limited capacity and a dramatic
increase of suspected COVID-19 cases. What has emerged is the need for finding an …

The outbreak of Coronavirus (COVID-19) has spread between people around the world at a
rapid rate so that the number of infected people and deaths is increasing quickly every day …

Apple leaf disease is one of the main factors to constrain the apple production and quality. It
takes a long time to detect the diseases by using the traditional diagnostic approach, thus …

The intensive care unit (ICU) admits the most seriously ill patients requiring extensive
monitoring. Early ICU mortality prediction is crucial for identifying patients who are at great …

For decades, vision scientists have contemplated the topic of plant species classification. As
plants are of great importance to medicinal research, they are utilized in a wide range of …

In motor imagery (MI) based brain–computer interface (BCI) signal analysis, mu and beta
rhythms of electroencephalograms (EEGs) are widely investigated due to their high temporal …

The last decades have witnessed accumulation in biomedical data. Though they can be
analyzed to enhance assessment of at-risk patients and improve the diagnosis, a major …