Disorder concept identification from clinical notes an experience with the ShARe/CLEF 2013 challenge

CEUR Workshop Proceedings

Volumn 1179, Issue , 2013, Pages

  Fan, Jung Wei ^a   Sood, Navdeep ^a   Huang, Yang ^a  

^a Medical Informatics Group Kaiser Permanente Southern California   (United States)

Author keywords

Concept boundary detection; Concept normalization; Medical language processing

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS;

CLINICAL NOTES; CONCEPT BOUNDARIES; CONCEPT IDENTIFICATION; CONCEPT NORMALIZATION; MEDICAL LANGUAGE PROCESSING; SEMANTIC TYPES; TOKENIZATION; TRAINING CORPUS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84922051496     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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3. Chapman, W.W., Nadkarni, P.M., Hirschman, L., D'Avolio, L.W., Savova, G.K., Uzuner, O. Overcoming barriers to NLP for clinical text. The role of shared tasks and the need for additional creative solutions. J Am Med Inform Assoc. 18, 540-543 (2011).
4. Suominen, H., Velupillai, S.S.S., Chapman, W.W., Savova, G., Elhadad, N., Pradhan, S., South, B.R., Mowery, D., Jones, G.J.F., Leveling, J., Kelly, L., Goeuriot, L., Martinez, D., Zuccon, G. Overview of the ShARe/CLEF eHealth Evaluation Lab 2013. Proc of the CLEF 2013. To appear (2013).
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