Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences

Authors:
Lina F. Soualmia;Badisse Dahamna
Affiliations:
Laboratoire LIM&Bio, UFR SMBH Léééonard de Vinci --- Université Paris XIII, 74, Rue Marcel Cachin, 93017 Bobigny Cedex, France;Rouen University Hospital --- 1, Rue de Germont, 76031 Rouen Cedex, France
Venue:
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Year:
2007

Citing 4
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Abstract

The present work aims at refining and expanding user's queries thanks to association rules. We adapted the A-Close algorithm to a medical corpus indexed by MeSH descriptors. The originality of our approach lies in the use of the association rules in the information retrieval process and the exploitation of the structure of the domain knowledge to evaluate the association rules. The results show the usefulness of this query expansion approach. Based on observations, new knowledge is modelled as expert rules.