Momentum Backpropagation Optimization for Cancer Detection Based on DNA Microarray Data

Abstract

Cancer is a general term for a large group of diseases characterized by the growth of abnormal cells outside the boundary that can attack neighboring parts of the body and / or spread to other organs. Other general terms used are malignant tumors and neoplasms. Cancer can affect almost all parts of the body and has many anatomic and molecular subtypes. In 2018, according to the World Health Organization, cancer is the second leading cause of death globally and accounts for 9.6 million deaths. Lung, prostate, colorectal, stomach and liver cancers are the most common types of cancer in men, while breast, colorectal, lung, cervical and stomach cancers are the most common in women [1]. Based on available data, 30% and 50% of cancer deaths can be prevented by avoiding the main risk factors, including avoiding tobacco products, reducing alcohol consumption, maintaining a healthy weight, exercising regularly and overcoming risk factors associated with infection. In addition, early detection of cancer can also increase the success of treatment in patients with cancer [2], [3].