Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
TABLE II: Test set performance with multi-task i2b2 and DCN datasets
['[BOLD] Data', '[BOLD] Model', '[BOLD] Precision', '[BOLD] Recall', 'F1']
Low performance of NegEx and ABoW is mainly attributed to the fact that they use ontology lookup to index findings and negation regular expression search within a fixed scope. The important thing to note is the low F1 score for NegEx. This can primarily be attributed to abbreviations and misspellings in clinical notes which can not be handled well by rule-based systems.