The early detection of cancer is of paramount importance in the medical field, as it can lead
to more precise and effective interventions for successful cancer treatments. Cancer …

Orthopedic diseases are widespread worldwide, impacting the body's musculoskeletal
system, particularly those involving bones or hips. They have the potential to cause …

Heart disease, encompassing a range of conditions affecting the heart, remains a leading
cause of morbidity and mortality worldwide. The urgent need for precise diagnostic …

DNA microarray is a technique in which a chip containing numerous DNA codes is used for
the expression estimation of an extensive number of genes simultaneously. These genes …

This review article delves into applying deep learning methodologies in conjunction with
microarray data for cancer classification. The study provides a comprehensive overview of …

Gene expression analysis can be used as a tool to detect cancer and the type of cancer in its
early stages. However, the computational complexity for gene expression analysis is quite …

Early cancer identification using gene expression data is critical for providing successful
patient care. Accurate data recognition is essential to prevent improper detection because it …

This manuscript explores the application of deep learning (DL) techniques for classifying
gene expression data. A key aspect of our research is the comparative analysis of various …

Sentiment analysis is a crucial step in obtaining subjective data from online text sources.
Nevertheless, the substantial challenge of high dimensionality prevails within text …

Cancer is one of the leading causes of death across the globe. There is a need for early
diagnosis to improve the chance of successful treatment and reduce the mortality associated …