Literatura académica sobre el tema "Diagnostique automatique"
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Artículos de revistas sobre el tema "Diagnostique automatique"
Yvon, François. "Evaluer, diagnostiquer et analyser la traduction automatique neuronale". FORUM / Revue internationale d’interprétation et de traduction / International Journal of Interpretation and Translation 20, n.º 2 (31 de diciembre de 2022): 315–32. http://dx.doi.org/10.1075/forum.00023.yvo.
Texto completode Bonis, M., JD Guelfi y M. Somogyi. "Observations psychiatriques en langage naturel, statistique textuelle et classification des dépressions". Psychiatry and Psychobiology 5, n.º 1 (1990): 1–11. http://dx.doi.org/10.1017/s0767399x0000331x.
Texto completoChougar, Lydia, Nadya Pyatigorskaya, Johann Faouzi, Olivier Colliot, Romain Valabrègue, Rahul Gaurav, Emma Biondetti, David Grabli y Stéphane Lehéricy. "Classification diagnostique automatisée des syndromes parkinsoniens en IRM multimodale". Journal of Neuroradiology 47, n.º 2 (marzo de 2020): 86–87. http://dx.doi.org/10.1016/j.neurad.2019.12.012.
Texto completoTabti, Fatine, Mariam El Harrak, Khaoula Aboubakr, Amal Baicha, Belghit El Hajjaj, Asmaa Ameur, Chaimaa Rhemmimet y Zakia Touati. "ARRHYTHMOGENIC RIGHT VENTRICULAR CARDIOMYOPATHYREVEALED BY AVENTRICULAR TACHYCARDIA". International Journal of Advanced Research 11, n.º 03 (31 de marzo de 2023): 1456–68. http://dx.doi.org/10.21474/ijar01/16591.
Texto completoMartinot, Jean-Benoit, Nhat-Nam Le-Dong, Valérie Cuthbert, Nathalie Coumans, Deborah De Marneffe, Françoise Jeurissen, David Gozal y Jean-Louis Pepin. "Le syndrome des apnées du sommeil en pédiatrie peut être diagnostiqué avec l’analyse automatique du signal mandibulaire". Médecine du Sommeil 18, n.º 1 (marzo de 2021): 30–31. http://dx.doi.org/10.1016/j.msom.2020.11.039.
Texto completoChougar, Lydia, Alice Faucher, Johann Faouzi, Francois-Xavier LeJeune, Olivier Colliot, David Grabli, Bertrand Degos y Stephane Lehericy. "Apport de l'irm et de la classification automatisée dans une population de patients parkinsoniens en situation d'incertitude diagnostique". Journal of Neuroradiology 50, n.º 2 (marzo de 2023): 132–34. http://dx.doi.org/10.1016/j.neurad.2023.01.049.
Texto completoBensamoun, D. "Place des nouvelles technologies dans les stratégies de dépistage et d’évaluation des troubles thymiques et cognitifs". European Psychiatry 30, S2 (noviembre de 2015): S49. http://dx.doi.org/10.1016/j.eurpsy.2015.09.137.
Texto completoSoedje, KMA, KM Mensah, DH Sama, A. Amadou, A.-KF Ahara, GG Aza-Gnandji, TEE Klikpo, H. Bramah, AK Amavi y E. Kpelao. "Manifestations psychiatriques des traumatismes crâniens et leur prise en charge au Centre Hospitalier Universitaire Sylvanus Olympio de Lome (Togo)". Journal de la Recherche Scientifique de l’Université de Lomé 26, n.º 1 (12 de marzo de 2024): 291–98. http://dx.doi.org/10.4314/jrsul.v26i1.34.
Texto completoDesmets, Marianne, Laura Noreskal, Sarah De Vogüé y Iris Eshkol-Taravella. "Diagnostiquer l’erreur rédactionnelle : contribution d’un outil automatique à la pratique de l’évaluateur". Pratiques, n.º 195-196 (10 de diciembre de 2022). http://dx.doi.org/10.4000/pratiques.12244.
Texto completoDA SILVA SANTOS, Sara y Fleur HEINIGER. "Prise en main automatisée du vrac numérique audiovisuel d’un service communication". Revue électronique suisse de science de l'information (RESSI), n.º 24 (29 de febrero de 2024). http://dx.doi.org/10.55790/journals/ressi.2024.e1522.
Texto completoTesis sobre el tema "Diagnostique automatique"
Nohra, Chadi. "Diagnostique de défauts sur un moteur Diesel". Aix-Marseille 3, 2009. https://tel.archives-ouvertes.fr/tel-01570301.
Texto completoLong time considered pollutants, diesel engines are today as much clean, or even more, than the gasoline engines. In order to respect the environmental standards, even in presence of malfunctions, the automotive manufacturers set up systems of faults detection and isolation. Most previous works in the diesel engine diagnosis determined parts of the engine and not the complete engine. This thesis proposes an innovative fault-diagnosis system for a turbocharged diesel engine with variable-geometry turbocharger control. Numerous and diversified actuator and/or sensors faults are identified and analyzed such as air-leakage in the admission collector, compressor malfunctioning, intake-valves fault, intercooler fault, deterioration in the turbine-compressor coupling, defect in the variable geometry of the turbine, and fault in rotational speed sensor. Two different strategies for developing a Fault Detection and Isolation algorithm (FDD were proposed : The first one based on the adaptive training theory of an on line non linear observer with sliding mode. The second one based on the theory of Gain Schedule Control operated on a Takagi-Sugeno model of the diesel. Simulations with a nonlinear Diesel model in the presence of noise were carried out and which demonstrated the effectiveness of the proposed algorithm
Simon, Isabelle. "Interet d'un nouveau systeme d'analyse de la ventilation dans la strategie diagnostique du syndrome d'apnees du sommeil". Angers, 1994. http://www.theses.fr/1994ANGE1064.
Texto completoMorice, Vincent. "Saga : un generateur temporel de plans pour la recherche diagnostique". Paris 6, 1988. http://www.theses.fr/1988PA066426.
Texto completoRilliard, Albert. "Vers une mesure de l'intelligibilité linguistique de la prosodie : évaluation diagnostique des prosodies synthétique et naturelle". Grenoble INPG, 2000. http://www.theses.fr/2000INPG0156.
Texto completoMartel, Éric y Éric Martel. "Conception automatisée d'amorces et de sondes aux fins de diagnostic moléculaire". Master's thesis, Université Laval, 2011. http://hdl.handle.net/20.500.11794/22515.
Texto completoDes algorithmes de conception automatisée d’amorces PCR et de sondes d’hybridation aux fins de diagnostic moléculaire ont été créés et implémentés. La vitesse de recherche d’amorces PCR à la fois spécifiques, ubiquitaires et sensibles s’est avérée considérablement accrue par le calcul et l’emploi de consensus binaires d’alignements multiples de séquences d’ADN. La recherche de sondes d’hybridation spécifiques et l’analyse du potentiel d’hybridation en général entre deux séquences a été facilitée par la synthèse de données empiriques d’hybridation trouvées dans divers articles publiés. D’autres programmes servant à faciliter ou automatiser l’exécution de diverses tâches utiles ont également été créés. Tous les programmes résultants ont permis de valider les algorithmes créés et de confirmer leur utilité dans l’exécution des tâches désirées par les membres de l’équipe de recherche auxquels ils étaient prioritairement destinés.
Algorithms for automatic design of PCR primers and of hybridization probes for molecular diagnostics have been created and implemented. The search speed for PCR primers that were at the same time specific, ubiquitary and sensitive was greatly improved by both computation and use of binary consensus of multiple alignments of DNA sequences. The search for specific hybridization probes and also analysis of hybridization potential in general between two sequences was facilitated by synthesis of empirical data gathered from different published papers. Other software for facilitating or automating the execution of different useful tasks were also created. All resulting software allowed both for the validation of algorithms and for the confirmation of their usefullness in executing desired tasks by the members of the research team for which they were written in the first place.
Algorithms for automatic design of PCR primers and of hybridization probes for molecular diagnostics have been created and implemented. The search speed for PCR primers that were at the same time specific, ubiquitary and sensitive was greatly improved by both computation and use of binary consensus of multiple alignments of DNA sequences. The search for specific hybridization probes and also analysis of hybridization potential in general between two sequences was facilitated by synthesis of empirical data gathered from different published papers. Other software for facilitating or automating the execution of different useful tasks were also created. All resulting software allowed both for the validation of algorithms and for the confirmation of their usefullness in executing desired tasks by the members of the research team for which they were written in the first place.
Leclerc, Sarah Marie-Solveig. "Automatisation de la segmentation sémantique de structures cardiaques en imagerie ultrasonore par apprentissage supervisé". Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI121.
Texto completoThe analysis of medical images plays a critical role in cardiology. Ultrasound imaging, as a real-time, low cost and bed side applicable modality, is nowadays the most commonly used image modality to monitor patient status and perform clinical cardiac diagnosis. However, the semantic segmentation (i.e the accurate delineation and identification) of heart structures is a difficult task due to the low quality of ultrasound images, characterized in particular by the lack of clear boundaries. To compensate for missing information, the best performing methods before this thesis relied on the integration of prior information on cardiac shape or motion, which in turns reduced the adaptability of the corresponding methods. Furthermore, such approaches require man- ual identifications of key points to be adapted to a given image, which makes the full process difficult to reproduce. In this thesis, we propose several original fully-automatic algorithms for the semantic segmentation of echocardiographic images based on supervised learning ap- proaches, where the resolution of the problem is automatically set up using data previously analyzed by trained cardiologists. From the design of a dedicated dataset and evaluation platform, we prove in this project the clinical applicability of fully-automatic supervised learning methods, in particular deep learning methods, as well as the possibility to improve the robustness by incorporating in the full process the prior automatic detection of regions of interest
Karboub, Kaouter. "Contribution à l'amélioration des performances des services médicaux urgents appliquant l'IoT et l'intelligence artificielle". Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0093.
Texto completoInternet of Things (IoT) and Artificial Intelligence (AI)are two advancing technological areas utilizing the capabilities of performing hands free tasks and intelligent data analysis. These technologies are showing promising potentials of improving the Human-to-Machine interactions in clinical workflow, create a better foundation of clinical decision-making, and improve the accessibility of clinical data. The novel aspect, rapid advancement, and new application possibilities of IoT and AI are in the initial phases. Hence, the thesis research has the objectives of identifying and investigating the potential, challenges, and possibilities of using IoT and AI to assess clinical settings.From the other hand, Various organizations claim that increasing attention should be put on an efficient use of healthcare resources. The internationally rising life expectancy and population size is accompanied by hospitals that are relying more on short admissions, and thus on limited bed capacity. The international World Health Report published by the World Health Organization shows that 20-40% of all healthcare resources are not being sufficiently utilized. Thus, tools that benefit an efficient healthcare system is greatly relevant to the present society. The goal of this thesis is to expand methods in the field of IoT and AI and modeling and optimization to hospital patient flow with a view to provide management and planners with a range of decision tools for improving the utilization of hospital resources. We elaborate on several relevant hospital optimization problems which relate to decision making on both the strategic, tactical and operational level. In addition, we focus on various types of patient flow, from inpatient to outpatient admissions, which has led to many different research studies. Methodologically we mainly focus on evaluating the different instances of patient flow but specifically on patients with cardiovascular diseases (CVD) based on Markov chain modeling.Mainly, the focus was on separating the patient stay in the hospital into three main phases. Each phase in an interdependent, time varying and function of the other phase. The core of the contribution is to assess and give every step of the process of admitting, treating, and discharging patients with solutions that can help physicians take decisions in short time but also take them efficiently. These techniques used IoT in order to collect electrocardiogram signals (ECG) from patients with different CVD pathologies and to transfer these data into a platform that can preprocess it and store it. AI that is used to automatically classify these signals along with three MIT dataset and decide which patients have cardiovascular diseases with no physician intervention. Then AI was used to efficiently predict which patients need to be discharged based on their epidemiological, physiological signals and characteristics and also based on their Length of Stay (LOS) and on their admission and transfer history. Finally, comes the role of using metaheuristic optimization. This last one, into account the admission, treatment trajectory and first survival analysis of these patients to decide which patients will be allocated to a bed in which ward mainly in the Intensive Care Unit (ICU).The proposed system for studying and optimizing the patients flow in a health care facility show high performance based on the different performance metrics we are using in this research project
Le, Tan. "Intégration de l'inférence abductive et inductive pour la représentation des connaissances dans les réseaux de gènes". Phd thesis, Toulouse 3, 2014. http://thesesups.ups-tlse.fr/2337/.
Texto completoDiagnostic reasoning (abductive) and predictive reasoning (inductive) are two methods of reasoning that enable the discovery of new knowledge. When abductive reasoning is the process of finding the best explanation (hypothesis) for a set of observations (Josephson, 1994), the inductive reasoning is the process of predicting, from a set of observations, to find all possible results. These observations may be symptoms of a patient, experiments on genomic and metabolic networks, etc. In this PhD thesis, we are interested in the representation, analysis and synthesis of genomic signaling networks using hypothetical logic. In fact, this thesis focuses on modeling of signaling pathways in response to the DNA double stranded break. To implement the abduction, we use algorithms of production. Then, the default logic is used to build models of minimum representation. These algorithms are proven knowledge discovery on the map of DNA double-strand break. This map is minimal as biological causality graph and allows integrating bio-molecular data
Le, Tan. "Intégration de l'inférence abductive et inductive pour la représentation des connaissances dans les réseaux de gènes". Phd thesis, Université Paul Sabatier - Toulouse III, 2014. http://tel.archives-ouvertes.fr/tel-00996894.
Texto completoBrisse, Hervé. "Radioprotection en scanographie chez l'enfant : évaluation et optimisation des doses délivrées lors des examens multicoupes, impact du contrôle automatique d'exposition et proposition de niveaux de référence diagnostiques pédiatriques". Paris 11, 2009. http://www.theses.fr/2009PA11T043.
Texto completoActas de conferencias sobre el tema "Diagnostique automatique"
Berger, A., E. Metiver, G. Hunault, C. Cavaro-Ménard y A. Clément. "Test diagnostique non invasif de morphométrie automatisée de l'histologie des polypes coliques". En Journées Francophones d'Hépato-Gastroentérologie et d'Oncologie Digestive (JFHOD). Georg Thieme Verlag KG, 2018. http://dx.doi.org/10.1055/s-0038-1623379.
Texto completoFourcade, A. "Apprentissage profond : un troisième oeil pour les praticiens". En 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206601014.
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