Literatura académica sobre el tema "Données biomédicales"
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Artículos de revistas sobre el tema "Données biomédicales"
Zaugg. "Häufige Fehler in der Biostatistik medizinischer Studien". Praxis 92, n.º 6 (1 de febrero de 2003): 218–24. http://dx.doi.org/10.1024/0369-8394.92.6.218.
Texto completoRiou, C., G. Bouzillé y M. Cuggia. "Gouvernance pour la réutilisation des données patients pour la recherche dans un entrepôt de données biomédicales". Revue d'Épidémiologie et de Santé Publique 64 (marzo de 2016): S14—S15. http://dx.doi.org/10.1016/j.respe.2016.01.049.
Texto completoFaye, Sylvain. "Du sumaan ndiig au paludisme infantile : la dynamique des représentations en milieu rural sereer sinig (Sénégal)". Sciences sociales et santé 27, n.º 4 (2009): 91–112. http://dx.doi.org/10.3406/sosan.2009.1947.
Texto completoHamon, A., O. Saraux, A. Jean, C. Camille, T. Schaeverbeke, N. Poursac, C. Richez et al. "Évaluation d’un algorithme de dépistage du syndrome VEXAS à partir de l’entrepôt de données biomédicales du CHU de Bordeaux". Revue du Rhumatisme 90 (diciembre de 2023): A56. http://dx.doi.org/10.1016/j.rhum.2023.10.085.
Texto completoNubukpo, P., M. Girard, M. Faurent y D. Malauzat. "Prise en charge du trouble de l’usage d’alcool : leçons des données d’une recherche clinique". European Psychiatry 30, S2 (noviembre de 2015): S107. http://dx.doi.org/10.1016/j.eurpsy.2015.09.201.
Texto completoIOIME, E., F. LEGRAND, F. KUHN, S. DUVER y M. SCHUERS. "Primo-contraception et continuation chez les adolescentes". EXERCER 34, n.º 198 (1 de diciembre de 2023): 436–43. http://dx.doi.org/10.56746/exercer.2023.198.436.
Texto completoDOWLUT, Sabeena, Maryvette BALCOU-DEBUSSCHE y David AUTHIER. "Littératie en santé et interventions éducatives dans une université publique mauricienne". Revue Education, Santé, Sociétés, Volume 9, Numéro 2 (31 de mayo de 2023): 123–44. http://dx.doi.org/10.17184/eac.7725.
Texto completoTAFFIN, M., A. BOUDET-GIRARD, G. GENTILE, J. KHOUANI y M. JEGO-SABLIER. "REPRESENTATIONS ET ATTENTES AUTOUR DE LA CONSULTATION AVEC LE MEDECIN GENERALISTE PÄR LES DEMANDEURS D'ASILE. ETUDE QUALITATTIVE A MARSEILLE". EXERCER 33, n.º 182 (1 de abril de 2002): 155–60. http://dx.doi.org/10.56746/exercer.2022.182.155.
Texto completoTOURNIER, J. N. "Quelles limites éthiques à la communication dans le domaine biomédical de Défense?" Revue Médecine et Armées, Volume 43, Numéro 3 (1 de junio de 2015): 246–51. http://dx.doi.org/10.17184/eac.6883.
Texto completoDagher, Georges, Maria Luisa Lavitrano y Paul Hofman. "Le next-generation biobanking". médecine/sciences 34, n.º 10 (octubre de 2018): 849–51. http://dx.doi.org/10.1051/medsci/2018203.
Texto completoTesis sobre el tema "Données biomédicales"
BARRA, Vincent. "Modélisation, classification et fusion de données biomédicales". Habilitation à diriger des recherches, Université Blaise Pascal - Clermont-Ferrand II, 2004. http://tel.archives-ouvertes.fr/tel-00005998.
Texto completoChoquet, Rémy. "Partage de données biomédicales : modèles, sémantique et qualité". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2011. http://tel.archives-ouvertes.fr/tel-00824931.
Texto completoPersoneni, Gabin. "Apport des ontologies de domaine pour l'extraction de connaissances à partir de données biomédicales". Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0235/document.
Texto completoThe semantic Web proposes standards and tools to formalize and share knowledge on the Web, in the form of ontologies. Biomedical ontologies and associated data represents a vast collection of complex, heterogeneous and linked knowledge. The analysis of such knowledge presents great opportunities in healthcare, for instance in pharmacovigilance. This thesis explores several ways to make use of this biomedical knowledge in the data mining step of a knowledge discovery process. In particular, we propose three methods in which several ontologies cooperate to improve data mining results. A first contribution of this thesis describes a method based on pattern structures, an extension of formal concept analysis, to extract associations between adverse drug events from patient data. In this context, a phenotype ontology and a drug ontology cooperate to allow a semantic comparison of these complex adverse events, and leading to the discovery of associations between such events at varying degrees of generalization, for instance, at the drug or drug class level. A second contribution uses a numeric method based on semantic similarity measures to classify different types of genetic intellectual disabilities, characterized by both their phenotypes and the functions of their linked genes. We study two different similarity measures, applied with different combinations of phenotypic and gene function ontologies. In particular, we investigate the influence of each domain of knowledge represented in each ontology on the classification process, and how they can cooperate to improve that process. Finally, a third contribution uses the data component of the semantic Web, the Linked Open Data (LOD), together with linked ontologies, to characterize genes responsible for intellectual deficiencies. We use Inductive Logic Programming, a suitable method to mine relational data such as LOD while exploiting domain knowledge from ontologies by using reasoning mechanisms. Here, ILP allows to extract from LOD and ontologies a descriptive and predictive model of genes responsible for intellectual disabilities. These contributions illustrates the possibility of having several ontologies cooperate to improve various data mining processes
Personeni, Gabin. "Apport des ontologies de domaine pour l'extraction de connaissances à partir de données biomédicales". Electronic Thesis or Diss., Université de Lorraine, 2018. http://www.theses.fr/2018LORR0235.
Texto completoThe semantic Web proposes standards and tools to formalize and share knowledge on the Web, in the form of ontologies. Biomedical ontologies and associated data represents a vast collection of complex, heterogeneous and linked knowledge. The analysis of such knowledge presents great opportunities in healthcare, for instance in pharmacovigilance. This thesis explores several ways to make use of this biomedical knowledge in the data mining step of a knowledge discovery process. In particular, we propose three methods in which several ontologies cooperate to improve data mining results. A first contribution of this thesis describes a method based on pattern structures, an extension of formal concept analysis, to extract associations between adverse drug events from patient data. In this context, a phenotype ontology and a drug ontology cooperate to allow a semantic comparison of these complex adverse events, and leading to the discovery of associations between such events at varying degrees of generalization, for instance, at the drug or drug class level. A second contribution uses a numeric method based on semantic similarity measures to classify different types of genetic intellectual disabilities, characterized by both their phenotypes and the functions of their linked genes. We study two different similarity measures, applied with different combinations of phenotypic and gene function ontologies. In particular, we investigate the influence of each domain of knowledge represented in each ontology on the classification process, and how they can cooperate to improve that process. Finally, a third contribution uses the data component of the semantic Web, the Linked Open Data (LOD), together with linked ontologies, to characterize genes responsible for intellectual deficiencies. We use Inductive Logic Programming, a suitable method to mine relational data such as LOD while exploiting domain knowledge from ontologies by using reasoning mechanisms. Here, ILP allows to extract from LOD and ontologies a descriptive and predictive model of genes responsible for intellectual disabilities. These contributions illustrates the possibility of having several ontologies cooperate to improve various data mining processes
Seitz, Ludwig. "Conception et mise en oeuvre de mécanismes sécurisés d'échange de données confidentielles : application à la gestion de données biomédicales dans le cadre d'architectures de grilles de calcul / données". Lyon, INSA, 2005. http://theses.insa-lyon.fr/publication/2005ISAL0055/these.pdf.
Texto completoGrid computing allows users to share multiple heterogeneous resources, such as computing power, storage capacity and data, and provides an architecture for transparent interoperation of these resources from the user's point of view. An upcoming application for Grids is health-care. More than for the first applications of Grids (e. G. Particle physics, terrestrial observation), security is a major issue for medical applications. Conventional data protection mechanisms are only of limited use, due to the novel security challenges posed by Grids. To respond to these challenges we propose an access control system that is decentralized and where the owners of some data are in control of the permissions concerning their data. Furthermore data may be needed at very short notice, the access control system must support a delegation of rights that is effective immediately. Grid users also need delegation mechanisms to give rights to processes, that act on their behalf. As these processes may spawn sub processes, multi-step delegation must be possible. In addition to these usability requirements, the transparent storage and replication mechanisms of Grids make it necessary to implement additional protection mechanisms for confidential data. Access control can be circumvented by attackers having access to the physical storage medium. We therefore need encrypted storage mechanisms to enhance the protection of data stored on a Grid. In this thesis we propose a comprehensive architecture for the protection of confidential data on Grids. This architecture includes an access control system and an encrypted storage scheme
Rivault, Yann. "Analyse de trajectoires de soins à partir de bases de données médico-administratives : apport d'un enrichissement par des connaissances biomédicales issues du Web des données". Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1B003/document.
Texto completoReusing healthcare administrative databases for public health research is relevant and opens new perspectives. In pharmacoepidemiology, it allows to study large scale diseases as well as care consumption for a population. Nevertheless, reusing these information systems that were initially designed for accounting purposes and whose interoperability is limited raises new challenges in terms of representation, integration, exploration and analysis. This thesis deals with the joint use of healthcare administrative databases and biomedical knowledge for the study of patient care trajectories. This includes both (1) exploration and identification through queries of relevant care pathways in voluminous flows, and (2) analysis of retained trajectories. Semantic Web technologies and biomedical ontologies from the Linked Data allowed to identify care trajectories containing a drug interaction or a potential contraindication between a prescribed drug and the patient’s state of health. In addition, we have developed the R queryMed package to enable public health researchers to carry out such studies by overcoming the difficulties of using Semantic Web technologies and ontologies. After identifying potentially interesting trajectories, knowledge from biomedical nomenclatures and ontologies has also enriched existing methods of analysing care trajectories to better take into account the complexity of data. This resulted notably in the integration of semantic similarities between medical concepts. Semantic Web technologies have also been used to explore obtained results
Nikiema, Jean. "Intégration de connaissances biomédicales hétérogènes grâce à un modèle basé sur les ontologies de support". Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0179/document.
Texto completoIn the biomedical domain, there are almost as many knowledge resources in health as there are application fields. These knowledge resources, described according to different representation models and for different contexts of use, raise the problem of complexity of their interoperability, especially for actual public health problematics such as personalized medicine, translational medicine and the secondary use of medical data. Indeed, these knowledge resources may represent the same notion in different ways or represent different but complementary notions.For being able to use knowledge resources jointly, we studied three processes that can overcome semantic conflicts (difficulties encountered when relating distinct knowledge resources): the alignment, the integration and the semantic enrichment of the integration. The alignment consists in creating a set of equivalence or subsumption mappings between entities from knowledge resources. The integration aims not only to find mappings but also to organize all knowledge resources’ entities into a unique and coherent structure. Finally, the semantic enrichment of integration consists in finding all the required mapping relations between entities of distinct knowledge resources (equivalence, subsumption, transversal and, failing that, disjunction relations).In this frame, we firstly realized the alignment of laboratory tests terminologies: LOINC and the local terminology of Bordeaux hospital. We pre-processed the noisy labels of the local terminology to reduce the risk of naming conflicts. Then, we suppressed erroneous mappings (confounding conflicts) using the structure of LOINC.Secondly, we integrated RxNorm to SNOMED CT. We constructed formal definitions for each entity in RxNorm by using their definitional features (active ingredient, strength, dose form, etc.) according to the design patterns proposed by SNOMED CT. We then integrated the constructed definitions into SNOMED CT. The obtained structure was classified and the inferred equivalences generated between RxNorm and SNOMED CT were compared to morphosyntactic mappings. Our process resolved some cases of naming conflicts but was confronted to confounding and scaling conflicts, which highlights the need for improving RxNorm and SNOMED CT.Finally, we performed a semantically enriched integration of ICD-10 and ICD-O3 using SNOMED CT as support. As ICD-10 describes diagnoses and ICD-O3 describes this notion according to two different axes (i.e., histological lesions and anatomical structures), we used the SNOMED CT structure to identify transversal relations between their entities (resolution of open conflicts). During the process, the structure of the SNOMED CT was also used to suppress erroneous mappings (naming and confusion conflicts) and disambiguate multiple mappings (scale conflicts)
Courilleau, Nicolas. "Visualisation et traitements interactifs de grilles régulières 3D haute-résolution virtualisées sur GPU. Application aux données biomédicales pour la microscopie virtuelle en environnement HPC". Thesis, Reims, 2019. http://www.theses.fr/2019REIMS013.
Texto completoData visualisation is an essential aspect of scientific research in many fields.It helps to understand observed or even simulated phenomena and to extract information from them for purposes such as experimental validations or solely for project review.The focus given in this thesis is on the visualisation of volume data in medical and biomedical imaging.The acquisition devices used to acquire the data generate scalar or vector fields represented in the form of regular 3D grids.The increasing accuracy of the acquisition devices implies an increasing size of the volume data.Therefore, it requires to adapt the visualisation algorithms in order to be able to manage such volumes.Moreover, visualisation mostly relies on the use of GPUs because they suit well to such problematics.However, they possess a very limited amount of memory compared to the generated volume data.The question then arises as to how to dissociate the calculation units, allowing visualisation, from those of storage.Algorithms based on the so-called "out-of-core" principle are the solutions for managing large volume data sets.In this thesis, we propose a complete GPU-based pipeline allowing real-time visualisation and processing of volume data that are significantly larger than the CPU and GPU memory capacities.The pipeline interest comes from its GPU-based approach of an out-of-core addressing structure, allowing the data virtualisation, which is adequate for volume data management.We validate our approach using different real-time applications of visualisation and processing.First, we propose an interactive virtual microscope allowing 3D auto-stereoscopic visualisation of stacks of high-resolution images.Then, we verify the adaptability of our structure to all data types with a multimodal virtual microscope.Finally, we demonstrate the multi-role capabilities of our structure through a concurrent real-time visualisation and processing application
Chevaillier, Béatrice. "Analyse de données d'IRM fonctionnelle rénale par quantification vectorielle". Electronic Thesis or Diss., Metz, 2010. http://www.theses.fr/2010METZ005S.
Texto completoDynamic-Contrast-Enhanced Magnetic Resonance Imaging has a great potential for renal function assessment but has to be evaluated on a large scale before its clinical application. Registration of image sequences and segmentation of internal renal structures is mandatory in order to exploit acquisitions. We propose a reliable and user-friendly tool to partially automate these two operations. Statistical registration methods based on mutual information are tested on real data. Segmentation of cortex, medulla and cavities is performed using time-intensity curves of renal voxels in a two step process. Classifiers are first built with pixels of the slice that contains the largest proportion of renal tissue : two vector quantization algorithms, namely the K-means and the Growing Neural Gas with targeting, are used here. These classifiers are first tested on synthetic data. For real data, as no ground truth is available for result evaluation, a manual anatomical segmentation is considered as a reference. Some discrepancy criteria like overlap, extra pixels and similarity index are computed between this segmentation and functional one. The same criteria are also evaluated between the referencee and another manual segmentation. Results are comparable for the two types of comparisons. Voxels of other slices are then sorted with the optimal classifier. Generalization theory allows to bound classification error for this extension. The main advantages of functional methods are the following : considerable time-saving, easy manual intervention, good robustness and reproductibility
Coupier, Jérôme. "Contribution à la modélisation des doigts longs et développement d’un protocole clinique d’évaluation de la mobilité de la main". Doctoral thesis, Universite Libre de Bruxelles, 2016. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/229442.
Texto completoDoctorat en Sciences biomédicales et pharmaceutiques (Médecine)
info:eu-repo/semantics/nonPublished
Capítulos de libros sobre el tema "Données biomédicales"
Jonquet, Clément, Nigam Shah y Mark A. Musen. "Un service Web pour l’annotation sémantique de données biomédicales avec des ontologies". En Informatique et Santé, 151–62. Paris: Springer Paris, 2009. http://dx.doi.org/10.1007/978-2-287-99305-3_14.
Texto completoNTSAMA ESSENGUÉ, Salomé Chantal. "Les professionnels de la santé face à l'usage des langues nationales dans les établissements sanitaires du Cameroun". En Développement durable : Amplifier les langues. Valoriser les cultures. Impliquer les populations, 151–64. Editions des archives contemporaines, 2024. http://dx.doi.org/10.17184/eac.7854.
Texto completo