Browsing Public Health Sciences, Department of by Subject "machine learning"
Now showing items 1-1 of 1
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 ...