Development of a Natural Language Processing Engine to Generate Bladder Cancer Pathology Data for Health Services Research

NLP had high accuracy for 5 of 6 variables and abstracted data for the vast majority of the patients. This now allows for the assembly of population-based cohorts with longitudinal pathology data.