A significant topic of investigation in the area of medical imaging is brain tumor classification.
Since precision is significant for classification, computer vision researchers have developed …

Lung cancer (LC), generally called lung carcinoma, is a fatal and debilitating illness that
affects the lungs. Lung cancer is caused by the genetic damage that occurs to the DNA of …

Colorectal cancer remains an important health issue worldwide, necessitating the
development of more effective diagnostic tools for early detection and intervention. This work …

GWO (Grey Wolf optimizer) is the leading metaheuristic algorithm preferred by most
researchers to solve different feature selection and optimization problems. Stagnation in …

Microarray gene expression data are widely used in identifying the classes in cancer data
for diagnosis. Cancer is caused by abnormal cell growth in an organ and spreads into other …

Feature selection is an important step in improving the performance of machine learning
algorithms. This paper describes a comparative study of traditional feature selection …

The effectiveness of a machine learning model is significantly impacted by feature selection.
Feature selection is one of the most popular and highly effective techniques for eliminating …

With the rapid increase in population, the rate of diseases like cancer is also increasing.
Lung cancer is a leading cause of cancer-related deaths with a minimum survival rate; there …

Objective: This study focuses on utilizing Machine Learning (ML) approaches to improve
Occupational Safety and Health (OSH) performance, involving the prediction and prevention …

Lung cancer is one of the most widespread diseases with significant fatality rates worldwide.
Machine learning (ML) algorithms have recently demonstrated great promise for predicting …