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In TREC 2014 Clinical Decision Support Track, the task was to retrieve full-texts relevant for answering generic clinical questions about medical records. For this purpose, we investigated a large range of strategies in the five runs we officially submitted. Concerning Information Retrieval (IR), we tested two different indexing levels: documents or(More)
In this paper we compare two types of corpus, focusing on the lexical mnbiguity of each of them. The first corpns consists mainly of newspaper articles and Hterature excerpts, while the second belc)ngs to the medical domain. To conduct the study, we have used two different disambiguation tools. However, first of all, we must verify the performance of each(More)
The Internet provides a great amount of information and has become one of the communication media which is most widely used [1]. However, the problem is no longer finding information but assessing the credibility of the publishers as well as the relevance and accuracy of the documents retrieved from the web. This problem is particularly relevant in the(More)
OBJECTIVE After a review of the existing practical solution available to the citizen to retrieve eHealth document, the paper describes an original specialized search engine WRAPIN. METHOD WRAPIN uses advanced cross lingual information retrieval technologies to check information quality by synthesizing medical concepts, conclusions and references contained(More)
The number of medical websites is constantly growing [1]. Owing to the open nature of the Web, the reliability of information available on the Web is uneven. Internet users are overwhelmed by the quantity of information available on the Web. The situation is even more critical in the medical area, as the content proposed by health websites can have a direct(More)
Medical institutions produce ever-increasing amount of diverse information. The digital form makes these data available for the use on more than a single patient. Images are no exception to this. However, less is known about how medical professionals search for visual medical information and how they want to use it outside of the context of a single(More)
OBJECTIVES To cope with medical terms, which present a high variability of expression through a single natural language, in the sense that any term may be reformulated in hundred of different ways. METHODS A typology of term variants is presented as a systematic approach in order to favour the implementation of an exhaustive solution. Then, an algorithm(More)
Many attempts have been made in the QA domain but no system applicable to the field of health is currently available on the Internet. This paper describes a bilingual French/English question answering system adapted to the health domain and more particularly the detection of the question's model. Indeed, the Question Analyzer module for identifying the(More)
The ever-increasing volume of health online information, coupled with the uneven reliability and quality, may have considerable implications for the citizen. In order to address this issue, we propose to use, within a general or specialised search engine, standards for identifying the reliability of online documents. Standards used are those related to the(More)