Research ArticleOpen AccessGoogle Scholar indexed
Research and Implementation of Cancer Gene Data Classification Based on Deep Learning
College of Engineering and Computing, Florida International University, Miami, USA
College of Engineering and Computing, Florida International University, Miami, USA
College of Engineering and Computing, Florida International University, Miami, USA
College of Intelligent Equipment, Shandong University of Science and Technology, Qingdao, China
Steven J. Green School of International & Public Affairs, Florida International University, Miami, USA
School of Economics, Capital University of Economics and Business, Beijing, China
- 1 College of Engineering and Computing, Florida International University, Miami, USA
- 2 College of Engineering and Computing, Florida International University, Miami, USA
- 3 College of Engineering and Computing, Florida International University, Miami, USA
- 4 College of Intelligent Equipment, Shandong University of Science and Technology, Qingdao, China
- 5 Steven J. Green School of International & Public Affairs, Florida International University, Miami, USA
- 6 School of Economics, Capital University of Economics and Business, Beijing, China
Journal of Software Engineering and Applications·Volume 16 (2023)·Pages 155–169·Published 28 June 2023·DOI10.4236/jsea.2023.166009
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Abstract
Cancer has become a cause of concern in recent years. Cancer genomics is currently a key research direction in the fields of genetic biology and biomedicine. This paper analyzes 5 different types of cancer genes, such as breast, kidney, colon, lung and prostate through machine learning methods, with the goal of building a robust classification model to identify each type of cancer, which will allow us to identify each type of cancer early, thereby reducing mortality.
KeywordsCancerHealthcareSVMRandom ForestNeural NetworkDeep Learning
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