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. Author manuscript; available in PMC: 2018 Dec 1.
Published in final edited form as: Urology. 2017 Sep 12;110:84–91. doi: 10.1016/j.urology.2017.07.056

Figure 1.

Figure 1

Documents classified correctly as well as false positive and false negatives among the 150 bladder cancer pathology reports included in the validation sample. Black bars indicate correctly identified reports, grey bars are NLP false negatives, and white bars are NLP false positives. Black and grey bars together represent the count based on the gold standard annotation.