Bidirectional LSTM-CRF for Clinical Concept Extraction

  title={Bidirectional LSTM-CRF for Clinical Concept Extraction},
  author={Raghavendra Chalapathy and Ehsan Zare Borzeshi and Massimo Piccardi},
  booktitle={ClinicalNLP@COLING 2016},
Automated extraction of concepts from patient clinical records is an essential facilitator of clinical research. For this reason, the 2010 i2b2/VA Natural Language Processing Challenges for Clinical Records introduced a concept extraction task aimed at identifying and classifying concepts into predefined categories (i.e., treatments, tests and problems). State-of-the-art concept extraction approaches heavily rely on handcrafted features and domain-specific resources which are hard to collect… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 4 times over the past 90 days. VIEW TWEETS
9 Extracted Citations
25 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 25 references

Similar Papers

Loading similar papers…