Using natural language processing and machine learning to identify breast cancer local recurrence

摘要

BackgroundIdentifying local recurrences in breast cancer from patient data sets is important for clinical research and practice. Developing a model using natural language processing and machine learning to identify local recurrences in breast cancer patients can reduce the time-consuming work of a manual chart review.