Cohort Creation and Visualization Using Graph Model in the PREDIMED Health Data Warehouse
| Autor: | Cancé, Christophe, Madiot, Pierre-Ephrem, Lenne, Christian, Artemova, Svetlana, Cohard, Brigitte, Bodin, Marjolaine, Caporossi, Alban, Blatier, Jean-François, Fauconnier, Jerôme, Olive, Frédérique, Pagonis, Daniel, Magny, Dominique Le, Bosson, Jean-Luc, Charriere, Katia, Paturel, Ivan, Lavaire, Bruno, Schummer, Gabriel, Eterno, Joseph, Ravey, Jean-Noël, Bricault, Ivan, Ferretti, Gilbert, Chanoine, Sébastien, Bedouch, Pierrick, Barbier, Emmanuel, Thevenon, Julien, Mossuz, Pascal, Moreau-Gaudry, Alexandre |
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| Přispěvatelé: | Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications Grenoble - UMR 5525 (TIMC-IMAG), 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)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), CHU Grenoble, Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), [GIN] Grenoble Institut des Neurosciences (GIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Digital Personalized Health and Medicine Digital Personalized Health and Medicine, 270, IOS Press, pp.108-112, 2020, Studies in Health Technology and Informatics, ⟨10.3233/SHTI200132⟩ |
| DOI: | 10.3233/SHTI200132⟩ |
| Popis: | International audience; Grenoble Alpes University Hospital (CHUGA) is currently deploying a health data warehouse called PREDIMED [1], a platform designed to integrate and analyze for research, education and institutional management the data of patients treated at CHUGA. PREDIMED contains healthcare data, administrative data and, potentially, data from external databases. PREDIMED is hosted by the CHUGA Information Systems Department and benefits from its strict security rules. CHUGA’s institutional project PREDIMED aims to collaborate with similar projects in France and worldwide. In this paper, we present how the data model defined to implement PREDIMED at CHUGA is useful for medical experts to interactively build a cohort of patients and to visualize this cohort. |
| Databáze: | OpenAIRE |
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