DESCRIPTION LOGIC FOR AUTOMATIC CLASSIFICATION OF MAMMOGRAM REPORTS

Amel Boustil, Zaidi Sahnoun

2009

Abstract

In this paper, we present a system for automatic classification of mammography reports, based on a radiological OWL DL ontology. The later describes radiological signs and categories of the BI-RADS classification established by American College of Radiology (ACR) in the OWL DL language. Our system is designed firstly to formalize content of mammogram reports written in free text driving by the ACR Ontology, then to infer relevant classes and corresponding attitude by using subsumption classification. Classification in our work is based on description logic by using OWL DL ontology and description logical reasoning system.

References

  1. ACR classification, 2002. ANAES : Service des recommandations et références professionnelles. http://www.hassante.fr/portail/upload/docs/application/pdf/ACR.pdf
  2. Assessment Categories, 2003. BI-RADS® MAMMOGRAPHY. Fourth Edition.
  3. Baader, F. Calvanese, D., McGuinness, D., Nardi, D. et Patel-Schneider, P., 2003. The Description Logic Handbook : Theory, Implementation and Applications. Cambridge University Press.
  4. Boustil Amel, Sahnoun Z., Mansouri Z., Golbreich C., 2006. Classification des compte-rendus mammographiques à partir d'une ontologie radiologique en OWL. Extraction et gestion de Connaissances (EGC'2006), RNTI, Vol. 1:199-204, Cepadues-Editions, ISBN 2.85428.677.4.
  5. Golbreich C., Mercier S.. 2004. Construction of the dialysis and transplantation ontology, advantages, limits, and questions about Protégé OWL. 7th International Protégé Conference, Bethesda.
  6. Haarslev V. and Möller R., 2001. Description of the RACER System and its Applications. In Proceedings International Workshop on Description Logics (DL2001), Stanford, USA, 1.-3. August, pages 131-141.
  7. Holger, K., 2004. The Protégé OWL Plugin. 7th International Protégé Conference, Bethesda. 2004.
  8. Holger, K., Olivier, D., Mark A, Musen, 2004. Weaving the Biomedical Semantic Web with the Protégé OWL Plugin. First International Workshop on Formal Biomedical Knowledge Representation, Whistler, Canada.
  9. Nilesh L., Jain D.Sc, Carol Friedman, 1995. Identification of Findings Suspicious for Breast Cancer Based on Natural Language Processing of Mammogram Reports. Proc AMIA Annu Fall Symp. 829-33.
  10. OWL Web Ontology Language Reference, 2004. W3C Recommendation 10 February. http://www.w3.org/ TR/owl-ref/
  11. Ricky K., Taira, G. Stephen Soderland, and Rex M. Jakobovits, 2001. Automatic Structuring of Radiology Free-Text Reports, Radiographics, 21:237-245.
  12. Tsarkov, D., Horrocks, I., 2003. DL reasoner vs. rst-order prover. Proc. of the 2003 Description Logic Workshop (DL 2003) volume. pp. 152159.
  13. Zweigenbaum P., Consortium Menelas, 1994. MENELAS: An Access System for Medical Records Using Natural Language. Computer Methods and Programs in Biomedicine, 45: 117-120.
Download


Paper Citation


in Harvard Style

Boustil A. and Sahnoun Z. (2009). DESCRIPTION LOGIC FOR AUTOMATIC CLASSIFICATION OF MAMMOGRAM REPORTS . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009) ISBN 978-989-8111-63-0, pages 193-198. DOI: 10.5220/0001538701930198


in Bibtex Style

@conference{healthinf09,
author={Amel Boustil and Zaidi Sahnoun},
title={DESCRIPTION LOGIC FOR AUTOMATIC CLASSIFICATION OF MAMMOGRAM REPORTS},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)},
year={2009},
pages={193-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001538701930198},
isbn={978-989-8111-63-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)
TI - DESCRIPTION LOGIC FOR AUTOMATIC CLASSIFICATION OF MAMMOGRAM REPORTS
SN - 978-989-8111-63-0
AU - Boustil A.
AU - Sahnoun Z.
PY - 2009
SP - 193
EP - 198
DO - 10.5220/0001538701930198