Browsing Public Health Sciences, Department of by Subject "Machine Learning"
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Combining Biomarkers and Clinicopathologic Factors for Prediction of Response to Adjuvant Chemotherapy for Breast Cancer: Cox Model and Support Vector Machine (SVM) Methods (2010-04-27)Background: Breast cancer is a complex disease, both phenotypically and etiologically. Accordingly, the responses to various treatments in the adjuvant setting among individuals vary considerably. There is a demand for ...