Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

Lung cancer is one of the deadliest cancers in the world. Two of the most common subtypes,
lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), have drastically …

Abstract Knowledge discovery in databases (KDD) is crucial in analyzing data to extract
valuable insights. In medical outcome prediction, KDD is increasingly applied, particularly in …

Lung and colon cancers are deadly diseases that can develop simultaneously in organs and
adversely affect human life in some special cases. Although the frequency of simultaneous …

Ensemble learning combines multiple learners to perform combinatorial learning, which has
advantages of good flexibility and higher generalization performance. To achieve higher …

The aim of this study is to analyze the effect of serum metabolites on diabetic nephropathy
(DN) and predict the prevalence of DN through a machine learning approach. The dataset …

With the development of high-throughput biological techniques, high-dimensional omics
data have emerged. These molecular data provide a solid foundation for precision medicine …

Objectives Chronic kidney disease (CKD) is a common chronic condition with high
incidence and insidious onset. Glomerular injury (GI) and tubular injury (TI) represent early …

In this article, a new method is employed for maximizing the performance of the Least
Absolute Shrinkage and Selection Operator (Lasso) feature selection model. In fact, we …

High throughput sequencing generates large volumes of high dimensional data. Identifying
informative features from the generated big data is always a challenge. Feature selection …