The primary contributor to lung cancer is an abnormal proliferation of cells. Tobacco usage and smoking cigarettes are the contributors development cancer. most common forms fall into two distinct types. Non-small-cell cancers small-cell subtypes A computed tomography, or CT, scan essential diagnostic technique that may determine kind a patient has, its stage, location any metastases, degree wh...

Epigenetics is the study of phenotypic variations that do not alter DNA sequences. Cancer epigenetics has grown rapidly over past few years as epigenetic alterations exist in all human cancers. One these methylation; an process regulates gene expression and often occurs at tumor suppressor loci cancer. Therefore, studying this methylation may shed light on different functions cannot otherwise b...

During the condition monitoring of a planetary gearbox, features are extracted from raw data for a fault diagnosis. However, different features have different sensitivity for identifying different fault types, and thus, the selection of a sensitive feature subset from an entire feature set and retaining as much of the class discriminatory information as possible has a directly effect on the acc...

We describe a systematic analysis on the effectiveness of features commonly exploited for the problem of predicting machine translation quality. Using a feature selection technique based on Gaussian Processes, we identify small subsets of features that perform well across many datasets for different language pairs, text domains, machine translation systems and quality labels. In addition, we sh...

The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper techniques, many studies have devised their own flavor of feature selection techniques. Only a handful of the studies delved into the effect of redundancy in the predictor set on classification accuracy, and even fewer o...

Feature selection for various applications has been carried out for many years in many different research areas. However, there is a trade-off between finding feature subsets with minimum length and increasing the classification accuracy. In this paper, a filter-wrapper feature selection approach based on fuzzy-rough gain ratio is proposed to tackle this problem. As a search strategy, a modifie...