Accession Number : ADA618609


Title :   TUW @ TREC Clinical Decision Support Track


Descriptive Note : Conference paper


Corporate Author : VIENNA UNIV OF TECHNOLOGY (AUSTRIA)


Personal Author(s) : Palotti, Joao ; Rekabsaz, Navid ; Anderson, Linda ; Hanbury, Allan


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a618609.pdf


Report Date : Nov 2014


Pagination or Media Count : 8


Abstract : This document describes the participation of Vienna University of Technology in the TREC Clinical Decision Support Track 2014. Four different search models are investigated, as well as different strategies to index the corpus and to extract the most relevant information from the topics. Our results conclude that BM25 and Vector Space Model had similar performance for P@10 and inferred NDCG.


Descriptors :   *DECISION SUPPORT SYSTEMS , *INFORMATION RETRIEVAL , AUSTRIA , CLINICAL MEDICINE , SEARCHING , STRATEGY


Subject Categories : Information Science


Distribution Statement : APPROVED FOR PUBLIC RELEASE