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Research and Implementation of Cancer Gene Data Classification Based on Deep Learning

DOI: 10.4236/jsea.2023.166009, PP. 155-169

Keywords: Cancer, Healthcare, SVM, Random Forest, Neural Network, Deep Learning

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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.

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