Optimal document-indexing vocabulary for MEDLINE
Information Processing and Management: an International Journal - Special issue: history of information science
Voting for candidates: adapting data fusion techniques for an expert search task
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A cross-lingual framework for monolingual biomedical information retrieval
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Disambiguating biomedical acronyms using EMIM
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Exploiting term dependence while handling negation in medical search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Exploiting semantics for improving clinical information retrieval
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
An adaptive evidence weighting method for medical record search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Learning to combine representations for medical records search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Learning to handle negated language in medical records search
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Learning to selectively rank patients' medical history
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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One of the challenges of searching in the medical domain is to deal with the complexity and ambiguity of medical terminology. Concept-based representation approaches using terminology from domain-specific resources have been developed to handle such a challenge. However, it has been shown that these techniques are effective only when combined with a traditional term-based representation approach. In this paper, we propose a novel technique to represent medical records and queries by focusing only on medical concepts essential for the information need of a medical search task. Such a representation could enhance retrieval effectiveness since only the medical concepts crucial to the information need are taken into account. We evaluate the retrieval effectiveness of our proposed approach in the context of the TREC 2011 Medical Records track. The results demonstrate the effectiveness of our approach, as it significantly outperforms a baseline where all concepts are represented, and markedly outperforms a traditional term-based representation baseline. Moreover, when combining the relevance scores obtained from our technique and a term-based representation approach, the achieved performance is comparable to the best TREC 2011 systems.