Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer

Abstract

We developed an NLP method that enables identification of the occurrence and timing of metastatic breast cancer recurrence from EMRs. This approach may be adaptable to other cancer sites and could help to unlock the potential of EMRs for research on real-world cancer outcomes.