caa a22 4500 463251520 CHVBK 20180405153341.0 cr unu---uuuuu 170326e20070401xx s 000 0 eng 10.1007/s10791-006-9020-6 doi (NATIONALLICENCE)springer-10.1007/s10791-006-9020-6 Knowledge-based query expansion to support scenario-specific retrieval of medical free text [Elektronische Daten] [Zhenyu Liu, Wesley Chu] In retrieving medical free text, users are often interested in answers pertinent to certain scenarios that correspond to common tasks performed in medical practice, e.g., treatment or diagnosis of a disease. A major challenge in handling such queries is that scenario terms in the query (e.g., treatment) are often too general to match specialized terms in relevant documents (e.g., chemotherapy). In this paper, we propose a knowledge-based query expansion method that exploits the UMLS knowledge source to append the original query with additional terms that are specifically relevant to the query's scenario(s). We compared the proposed method with traditional statistical expansion that expands terms which are statistically correlated but not necessarily scenario specific. Our study on two standard testbeds shows that the knowledge-based method, by providing scenario-specific expansion, yields notable improvements over the statistical method in terms of average precision-recall. On the OHSUMED testbed, for example, the improvement is more than 5% averaging over all scenario-specific queries studied and about 10% for queries that mention certain scenarios, such as treatment of a disease and differential diagnosis of a symptom/disease. Springer Science+Business Media, LLC, 2006 Medical information retrieval nationallicence Scenario-specific information retrieval nationallicence Knowledge-based information retrieval nationallicence Query expansion nationallicence Knowledge-based systems nationallicence Liu Zhenyu Department of Computer Science, UCLA, 90024, Los Angeles, CA, USA aut Chu Wesley Department of Computer Science, UCLA, 90024, Los Angeles, CA, USA aut Information Retrieval Kluwer Academic Publishers 10/2(2007-04-01), 173-202 1386-4564 10:2<173 2007 10 10791 https://doi.org/10.1007/s10791-006-9020-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10791-006-9020-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Zhenyu Department of Computer Science, UCLA, 90024, Los Angeles, CA, USA aut NATIONALLICENCE 700 1- Chu Wesley Department of Computer Science, UCLA, 90024, Los Angeles, CA, USA aut NATIONALLICENCE 773 0- Information Retrieval Kluwer Academic Publishers 10/2(2007-04-01), 173-202 1386-4564 10:2<173 2007 10 10791 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer