Information Extraction of Texts in the Biomedical Domain

Cotik, Viviana

Information Extraction of Texts in the Biomedical Domain

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4357-4357.

Abstract

Automatic detection of relevant terms in medical reports is useful for educational purposes and for clinical research. Natural language processing techniques can be applied in order to identify them. The main goal of this research is to develop a method to identify whether medical reports of imaging studies (usually called radiology reports) written in Spanish are important (in the sense that they have non-negated pathological findings) or not. We also try to identify which finding is present and if possible its relationship with anatomical entities.

Viviana Cotik. 2015. Information Extraction of Texts in the Biomedical Domain. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4357–4357. https://ijcai.org/proceedings/2015/626

@inproceedings{ijcai2015p626,
  title     = {Information Extraction of Texts in the Biomedical Domain},
  author    = {Cotik, Viviana},
  booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-15}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {4357--4357},
  year      = {2015},
  month     = {7},
  note      = {Doctoral Consortium},
  url       = {https://ijcai.org/proceedings/2015/626},
}

TY  - CPAPER
TI  - Information Extraction of Texts in the Biomedical Domain
AU  - Cotik, Viviana
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 4357
EP  - 4357
UR  - https://ijcai.org/proceedings/2015/626
ER  -