Christina Khnaisser
Professeure à la Faculté de médecine et des sciences de la santé (FMSS) de l’Université de Sherbrooke
Professeure à la Faculté des sciences de l’Université de Sherbrooke
Cotitulaire de la Chaire de recherche MEIE du numérique en santé (2022-2025)
Professeure en informatique de la santé à la Faculté de médecine et des sciences de la santé ainsi qu’à la Faculté des sciences de l’Université de Sherbrooke, Christina a obtenu en 2019 son doctorat en cotutelle en informatique médicale de l’Université de Paris et de l’Université de Sherbrooke et a remporté le Prix de la meilleure thèse France-Québec. Dans le cadre de ses recherches, Christina s’intéresse à plusieurs aspects de l’informatique dont la modélisation de bases de données temporelles, les langages de définition et d’interrogation de bases de données à l’aide d’ontologies, l’analyse et le raisonnement temporels, la génération de graphes de connaissances et l’intégration de données pour les systèmes de santé apprenants.
Les travaux de recherche qu’elle effectue dans le cadre de la Chaire de recherche MEIE du numérique en santé se concentrent sur l’élaboration de méthodes de construction de modèles de données temporalisés pour des systèmes de santé apprenants.
Formation
Ph. D., Université Paris Cité et Université de Sherbrooke (en cotutelle), informatique médicale
M. Sc., Université de Sherbrooke, génie logiciel
B. Sc., Université de Sherbrooke, informatique de gestion
Prix et distinctions
Prix de thèse en cotutelle France-Québec, ministère des Relations internationales et de la Francophonie du Québec, 2020
Bourse de doctorat, Fonds de recherche du Québec — Nature et technologies, 2016-2018
Bourse de recherche, Mitacs Globalink et Campus France, 2017
Bourse du CIUSSS de l’Estrie — CHUS, 2016
Liste d’honneur aux études supérieures de la Faculté des sciences, Université de Sherbrooke, 2016
Prix Aide à la communication au congrès de l’axe Santé — Populations, organisation et pratique, Centre de recherche du CHUS, 2016
Supervision
Contenu relié
Christina Khnaisser obtient le Prix de thèse en cotutelle France-Québec
2021-01-18
Modéliser les connaissances cliniques et concevoir des bases de données pour les systèmes de santé apprenants.
Publications
2298129
Journal Article
Christina Khnaisser
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
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Khnaisser C
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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
2298129
Book Section
Christina Khnaisser
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50
date
desc
year
1
1
title
Khnaisser C
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Khnaisser C, Hamrouni H, Blumenthal D, Dignös A, Gamper J (2022) Querying Temporal Anomalies in Healthcare Information Systems and Beyond. In: Advances in Databases and Information Systems. Springer International Publishing Cite
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
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Christina Khnaisser
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Khnaisser C
2466
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Ceccarello M, Dignös A, Gamper J, Khnaisser C (2023) Indexing Temporal Relations for Range-Duration Queries. In: Proceedings of the 35th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, New York, États-Unis Cite
Khnaisser C, Hamrouni H, Blumenthal DB, Dignös A, Gamper J (2022) Querying Temporal Anomalies in Healthcare Information Systems and Beyond [BEST PAPER AWARD]. In: Chiusano S, Cerquitelli T, Wrembel R (eds) Advances in Databases and Information Systems. Springer International Publishing, pp 209–222 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
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
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Christina Khnaisser
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Khnaisser C
2466
https://griis.ca/wp-content/plugins/zotpress/
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Khnaisser C (2023) Modèle de données historicisées pour les systèmes de santé apprenants Cite
Khnaisser C (2022) Modèle de données historicisées pour les systèmes de santé apprenants Cite
Khnaisser C (2022) Querying Temporal Anomalies in Healthcare Information Systems and Beyond Cite
Khnaisser C (2017) Past Indeterminacy in Data Warehouse Design Cite
Looten V, Khnaisser C, Burgun A, Rance B (2017) Storing biological data in i2b2: extending the representation of laboratory exams beyond the sheer result 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
Khnaisser C Data Warehouse Design Methods Review: Trends, Challenges and Future Directions for the Healthcare Domain Cite
2298129
Report
Christina Khnaisser
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
50
date
desc
year
1
1
title
Khnaisser C
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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
Thesis
Christina Khnaisser
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
50
date
desc
year
1
1
title
Khnaisser C
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Khnaisser C (2019) Construction de modèles de données relationnels temporalisés guidée par les ontologies. Thèse de doctorat Cite
Khnaisser C, Lavoie L (dir.) et Ethier J-F (dir.) (2016) Méthode de construction d'entrepôt de données temporalisé pour un système informationnel de santé. Mémoire de maitrise, Université de Sherbrooke Cite Download
