Abstract
Cancer is a disease of Deoxyribonucleic Acid (DNA). A breast tumor is a malignant growth that creates from breast tissue. It is an illness wherein dangerous (malignant growth) cells structure in the tissues of the breast. Whenever cancer is analyzed as harmless, specialists will typically let it be instead of eliminating it. Imagine a future where users can predict when any disease might occur, treat any disorder in real-time, and even prevent diseases from ever happening. This is the future of medicine, one where we will be able to create a precise roadmap for a disease-free life. As an independent, non-profit researcher focused on genomics research has a century of experience, and the foresighted vision to make this exciting future possible. In this paper, Predicting a person’s tumor (normal, benign, or malignant) based upon his or her tumor features like fractal dimension, symmetry, concave points, concavity, compactness, smoothness, area, texture, perimeter, and radius are calculated. Machine learning classification techniques and data mining algorithms can be used on these types of problem statements.
Keyword
DNA, ACS, Malignant, Disorder, Researcher, Fractal dimension
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