Bidirectional LSTM-CRF for Clinical Concept Extraction

@inproceedings{Chalapathy2016BidirectionalLF,
  title={Bidirectional LSTM-CRF for Clinical Concept Extraction},
  author={Raghavendra Chalapathy and Ehsan Zare Borzeshi and Massimo Piccardi},
  booktitle={ClinicalNLP@COLING 2016},
  year={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
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