Development and validation of an automated basal cell carcinoma histopathology information extraction system using natural language processing

Abstract

Using an NLP rule-based approach for named entity recognition in BCC, we have been able to develop and validate a pipeline with a potential application in improving the quality of cancer registry data, supporting service planning, and enhancing the quality of routinely collected data for research.