Luc Lavoie
Cofondateur du GRIIS
Professeur agrégé en informatique à l’Université de Sherbrooke
Le professeur Luc Lavoie poursuit avec l’aide d’étudiantes et d’étudiants plusieurs projets de recherche liés à l’analyse, à la spécification, au développement et à l’entretien de systèmes informatisés pour les petites et moyennes organisations. Les bases de données sont au centre de ses intérêts tant en recherche qu’en enseignement. Il anime Μῆτις, un groupe de réflexion et de partage relatif à l’enseignement de l’informatique.
Dans le domaine des bases de données, Luc Lavoie s’intéresse à la sémantique de nouveaux langages de définition et d’exploitation. Il explore les fondements de la théorie relationnelle, de la théorie des types et de la modélisation de données historicisées. Il collabore au développement de nouveaux langages relationnels (p. ex. Tutorial D) et relationnels-temporels (p. ex. Discipulus). En ingénierie des exigences, ses travaux portent sur la systématisation des processus en regard de la vérification, de la validation et de la gestion de la configuration. En gestion de projets, Luc se penche sur la planification pilotée par les processus.
Formation
M. Sc., Université de Montréal, informatique
Supervision
Publications
2298129
Journal Article
Luc Lavoie
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
50
date
desc
year
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Lavoie L
2422
https://griis.ca/wp-content/plugins/zotpress/
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Khnaisser C, Looten V, Lavoie L, Burgun A, Ethier J-F (2024) Building ontology-based temporal databases for data reuse: An applied example on hospital organizational structures. Health Informatics J 30. Cite
Khnaisser C, Lavoie L, Fraikin B, Barton A, Dussault S, Burgun A, Ethier J-F (2022) Using an ontology to derive a sharable and interoperable relational data model for heterogeneous healthcare data and various applications. Methods Inf Med 61:e73–e88. https://doi.org/10.1055/a-1877-9498 Cite Download
Ecarot T, Fraikin B, Lavoie L, McGilchrist M, Ethier J-F (2021) A Sensitive Data Access Model in Support of Learning Health Systems. Computers 10:25. https://doi.org/10.3390/computers10030025 Cite Download
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Luc Lavoie
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Lavoie L
2422
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Khnaisser C, Lavoie L, Diab H, Ethier J-F (2015) Data warehouse design methods review: Trends, challenges and future directions for the healthcare domain. In: Morzy T, Valduriez P, Bellatreche L (eds) New Trends in Databases and Information Systems. Springer International Publishing, pp 76–87 Cite Download Download
2298129
Conference Paper
Luc Lavoie
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
50
date
desc
year
1
1
title
Lavoie L
2422
https://griis.ca/wp-content/plugins/zotpress/
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Ecarot T, Fraikin B, Lavoie L, McGilchrist MM, Ethier J-F (2021) Learning health systems: An anonymous network routing protocol. In: Almeida JR, Gonzalez AR, Shen L, Kane B, Soda P, Oliveira JL (eds) Proceedings of the IEEE Symposium on Computer-Based Medical Systems. pp 562–567 Cite
Barton A, Fabry P, Lavoie L, Ethier J-F (2019) LABO: An ontology for laboratory test prescription and reporting. In: Proceedings of the Joint Ontology Workshops 2019 (JOWO 2019). Graz, Autriche, pp 1–9 Cite
Khnaisser C, Lavoie L, Burgun A, Ethier J-F (2017) Past Indeterminacy in Data Warehouse Design. In: Benslimane D, Damiani E, Grosky WI, Hameurlain A, Sheth A, Wagner RR (eds) Database and Expert Systems Applications. Springer, Cham, pp 90–100 Cite Download
Khnaisser C, Lavoie L, Ethier J-F (2017) Unified bitemporal modelling framework for automatic data warehouse design. In: 28th International Conference on Database and Expert Systems Applications DEXA 2017. Lyon, France Cite
Barton A, Khnaisser C, Lavoie L, Ethier J-F (2017) Ambiguities in medical bitemporalized relational databases: A referent tracking view. In: Proceedings of the Joint Ontology Workshops 2017. Boeker, M., Herre, H., Jansen, L., Loebe, F., & Shober, D., Bolzano, Italie, pp 1–5 Cite Download
Ethier J-F, Taseen R, Lavoie L, Barton A (2016) Improving the semantics of drug prescriptions with a realist ontology. In: Jaiswal P, Hoehndorf R, Arighi C, Meier A (eds) Proceedings of the Joint International Conference on Biological Ontology and BioCreative. Oregon, États-Unis, p IT603:1-6 Cite Download
Khnaisser C, Lavoie L, Diab H, Ethier J-F (2015) Data Warehouse Design Methods Review: Trends, Challenges and Future Directions for the Healthcare Domain. In: Morzy T, Valduriez P, Bellatreche L (eds) New Trends in Databases and Information Systems. Springer International Publishing, pp 76–87 Cite
2298129
Presentation
Luc Lavoie
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
50
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1
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Lavoie L
2422
https://griis.ca/wp-content/plugins/zotpress/
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Bungama PA, Lavoie L (2021) Optimisation des requêtes relatives aux trajectoires de soin Cite
Khnaisser C, Lavoie L, Diab H, Ethier J-F (2015) Architecture et méthode de construction d’entrepôts de données au coeur des systèmes informationnels régionaux de santé. Cite
Khnaisser C, Lavoie L, Burgun A, Ethier J-F (2015) Étude comparative des modèles temporels BCDM et DDLM dans le contexte d’entrepôt de données. Cite
Khnaisser C, Lavoie L, Burgun A, Ethier J-F (2014) Génération automatisée de schémas relationnels bitemporels dans un contexte d’entrepôt de données Cite
2298129
Report
Luc Lavoie
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
50
date
desc
year
1
1
title
Lavoie L
2422
https://griis.ca/wp-content/plugins/zotpress/
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Khnaisser C, Lavoie L, Fraikin B, Barton A, Burgun A, Ethier J-F (2019) Generating a relational database for heterogeneous data using an ontology Cite Download
Khnaisser C, Lavoie L, Burgun A, Ethier J-F (2017) Unified bitemporal historicization framework. Université de Sherbrooke (GRIIS), Sherbrooke, Canada Cite
Khnaisser C, Lavoie L, Diab H, Ethier J-F (2015) Data warehouse design methods review for the healthcare domain. Université de Sherbrooke, Sherbrooke, Canada Cite Download
2298129
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https://griis.ca/wp-content/plugins/zotpress/
Contenu relié
Accès aux données de santé des dossiers médicaux électroniques au Québec
2019-11-26
Pour soutenir le déploiement de projets prioritaires, le ministère confie au Groupe de recherche interdisciplinaire en informatique de la santé le soin d’arrimer la Plateforme apprenante en recherche et en services sociaux avec les dossiers médicaux électroniques certifiés.
Étiqueté PARS3PARS3-enReflexDReflexD-en
