Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - Special issue on history of information science
Optimal document-indexing vocabulary for MEDLINE
Information Processing and Management: an International Journal - Special issue: history of information science
Retrieval evaluation with incomplete information
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Term identification in the biomedical literature
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving the estimation of relevance models using large external corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Concept-based biomedical text retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
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 simple and efficient sampling method for estimating AP and NDCG
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A system for finding biological entities that satisfy certain conditions from texts
Proceedings of the 17th ACM conference on Information and knowledge management
Exploring criteria for successful query expansion in the genomic domain
Information Retrieval
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
Combining multi-level evidence for medical record retrieval
Proceedings of the 2012 international workshop on Smart health and wellbeing
Learning to combine representations for medical records search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A query and patient understanding framework 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
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Medical records search is challenging because of the inherent implicit knowledge within medical records and queries. Such knowledge is known to the medical practitioners but may be hidden from a search system. For example, when searching for the medical records of patients with a heart disease, medical practitioners commonly know that the medical records of patients taking the amiodarone medicine are relevant, since this drug is used to combat a heart disease. In this paper, we argue that leveraging such implicit knowledge improves the retrieval effectiveness, since it provides new evidence to infer the relevance of medical records towards a query. Specifically, using a novel concept-based representation for both medical records and queries, we expand the queries by inferring additional conceptual relationships from domain-specific resources as well as by extracting informative concepts from the top-ranked medical records. We evaluate the retrieval effectiveness of our proposed approach in the context of the TREC 2011 and 2012 Medical Records track. Our results show the effectiveness of our approach to model the implicit knowledge in medical records search, whereby the infAP retrieval performance is significantly improved up to 14.43% over an effective concept-based representation baseline. Moreover, our proposed approach could achieve retrieval effectiveness comparable to the performance of the best TREC 2011 and 2012 systems.