Annotation methods to develop and evaluate an expert system based on natural language processing in electronic medical records
Autor: | Quentin, Gicquel, Nastassia, Tvardik, Côme, Bouvry, Ivan, Kergourlay, André, Bittar, Frédérique, Segond, Stefan, Darmoni, Marie-Hélène, Metzger |
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Přispěvatelé: | Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Xerox Research Centre Europe [Meylan], Xerox Company, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), ANR-12-TECS-0006,SYNODOS,SYstème de Normalisation et d'Organisation de Données médicales textuelles pour l'Observation en Santé(2012), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Université Le Havre Normandie (ULH) |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Knowledge bases
Natural language processing Data mining/methods Pattern Recognition Automated Vocabulary controlled Expert systems Terminology as topic Vocabulary Controlled Electronic health records/classification Pattern recognition Machine learning Data Mining Electronic Health Records [INFO]Computer Science [cs] |
Zdroj: | Studies in Health Technology and Informatics Studies in Health Technology and Informatics, IOS Press, 2015, 216, pp.1067 Studies in Health Technology and Informatics, 2015, 216, pp.1067 |
ISSN: | 0926-9630 1879-8365 |
Popis: | International audience; The objective of the SYNODOS collaborative project was to develop a generic IT solution, combining a medical terminology server, a semantic analyser and a knowledge base. The goal of the project was to generate meaningful epidemiological data for various medical domains from the textual content of French medical records. In the context of this project, we built a care pathway oriented conceptual model and corresponding annotation method to develop and evaluate an expert system's knowledge base. The annotation method is based on a semi-automatic process, using a software application (MedIndex). This application exchanges with a cross-lingual multi-termino-ontology portal. The annotator selects the most appropriate medical code proposed for the medical concept in question by the multi-termino-ontology portal and temporally labels the medical concept according to the course of the medical event. This choice of conceptual model and annotation method aims to create a generic database of facts for the secondary use of electronic health records data. |
Databáze: | OpenAIRE |
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