most citedNamed Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches

35 citations · 35 across the 1 of their papers we have counts for

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1 paper

cs.CL2019★ 35 cited

Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches

Philip John Gorinski, Honghan Wu, Claire Grover +6

This work investigates multiple approaches to Named Entity Recognition (NER) for text in Electronic Health Record (EHR) data. In particular, we look into the application of (i) rul…