What are Some Real-World Applications of SVMs in Cancer?
SVMs have been successfully applied in various real-world applications related to cancer:
Breast Cancer Diagnosis: SVMs have been used to classify breast cancer tumors as benign or malignant based on features extracted from mammography images. Prostate Cancer Prognosis: They have been employed to predict the recurrence of prostate cancer using clinical and genetic data. Gene Expression Analysis: SVMs have been used to analyze gene expression data to identify biomarkers for different types of cancer.
