A Machine Learning Approach to Identifying Cancer Survivor Subpopulations with Low Germline Genetic Testing Uptake

Using machine learning to analyze NCI's SEER-linked germline genetic testing registry data from Georgia and California, to identify which cancer survivors are least likely to receive recommended genetic testing and inform targeted registry outreach.