Multi-Modal Machine Learning for Breast Cancer Recurrence Prediction

In three linesarXiv study on breast cancer recurrence prediction using multi-modal machine learning. Integrates treatment records, pathology reports, and clinician notes. Uses regex-based extraction and conflict reconciliation to recover tumor characteristics from free-text narratives. Shows multi-modal integration consistently improves predictive accuracy over single-modal methods.

Summary generated by Claude — human-verified