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IRIT @ TREC 2016 Clinical Decision Support Track

Gia-Hung Nguyen 1 Laure Soulier 2 Lynda Tamine 1 Nathalie Bricon-Souf 3
1 IRIT-IRIS - Recherche d’Information et Synthèse d’Information
IRIT - Institut de recherche en informatique de Toulouse
2 MLIA - Machine Learning and Information Access
LIP6 - Laboratoire d'Informatique de Paris 6
3 IRIT-SIG - Systèmes d’Informations Généralisées
IRIT - Institut de recherche en informatique de Toulouse
Abstract : In this document, we describe our participation of the IRIT lab to the TREC 2016 Clinical Decision Support track. The goal of the Clinical Decision Support track is to develop the efficient systems to retrieve relevant biomedical articles given a form of patient medical record. To address this task, we propose a neural approach to match the document and the query, with the help of the MeSH thesaurus.
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https://hal.sorbonne-universite.fr/hal-01464681
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Submitted on : Friday, February 10, 2017 - 1:32:40 PM
Last modification on : Thursday, June 18, 2020 - 3:36:50 AM
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  • HAL Id : hal-01464681, version 1

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Gia-Hung Nguyen, Laure Soulier, Lynda Tamine, Nathalie Bricon-Souf. IRIT @ TREC 2016 Clinical Decision Support Track. Text REtrieval Conference (TREC 2016), Nov 2016, Gaithersburg, MD, United States. ⟨hal-01464681⟩

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