Literatura científica selecionada sobre o tema "Pronostic et management de la santé"
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Artigos de revistas sobre o assunto "Pronostic et management de la santé"
Stilos, Kalliopi, e Katherine Burgoyne. "Intégrer l’écriture réflexive et l’art-thérapie à sa pratique de soins palliatifs". Canadian Oncology Nursing Journal 31, n.º 2 (7 de maio de 2021): 213–20. http://dx.doi.org/10.5737/23688076312213220.
Texto completo da fonteNomo, Serge Vivier Nga, Christella Raissa Iroume Bifouna, Aristide Gilles Kuitchet Njeumji, Dominique Djomo Tamchom, Gisèle Berline Chewa e Samson Nkoumou. "Épilepsie et natation en piscine privée dans les pays en voie de développement, une pratique à haut risque vital : une observation clinique". Annales Africaines de Medecine 15, n.º 1 (31 de janeiro de 2022): e4510-e4514. http://dx.doi.org/10.4314/aamed.v15i1.15.
Texto completo da fonteDetchessahar, Mathieu. "Management et santé". Revue française de gestion 37, n.º 214 (28 de maio de 2011): 65–68. http://dx.doi.org/10.3166/rfg.214.65-68.
Texto completo da fonteAzzoug, Said, Djamila Meskine e Farida Chentli. "Diabetic foot". Batna Journal of Medical Sciences (BJMS) 4, n.º 2 (31 de dezembro de 2017): 133–38. http://dx.doi.org/10.48087/bjmsra.2017.4202.
Texto completo da fonteBenseddik, Khedidja. "Genetic tests in oncology. A Swiss knife". Batna Journal of Medical Sciences (BJMS) 2, n.º 2 (30 de dezembro de 2012): 177–81. http://dx.doi.org/10.48087/bjmstf.2015.2217.
Texto completo da fonteHuth, Kathleen, Patricia Vandecruys, Julia Orkin e Hema Patel. "L’utilisation sécuritaire des médicaments chez les enfants ayant des problèmes médicaux complexes". Paediatrics & Child Health 25, n.º 7 (novembro de 2020): 474. http://dx.doi.org/10.1093/pch/pxaa106.
Texto completo da fonteLhuilier, Dominique. "Travail, management et santé psychique". Connexions 91, n.º 1 (2009): 85. http://dx.doi.org/10.3917/cnx.091.0085.
Texto completo da fonteCALENGE, F., C. MARTIN, N. LE FLOCH, F. PHOCAS, D. MORGAVI, C. ROGEL-GAILLARD e P. QUÉRÉ. "Intégrer la caractérisation du microbiote digestif dans le phénotypage de l’animal de rente : vers un nouvel outil de maîtrise de la santé en élevage ?" INRAE Productions Animales 27, n.º 3 (28 de agosto de 2014): 209–22. http://dx.doi.org/10.20870/productions-animales.2014.27.3.3068.
Texto completo da fonteKerneur, J., D. Chauvin, J. Huntzinger e I. Le Morillon. "La formation des nouveaux professionnels arrivants en service de réanimation et en unités de soins continus par la simulation :« Gestion des situations critiques, un enjeu pour la sécurité du patient »". Médecine Intensive Réanimation 27, n.º 6 (30 de outubro de 2018): 563–71. http://dx.doi.org/10.3166/rea-2018-0067.
Texto completo da fonteLegros, V., M. Bard, D. Rouget, J. C. Kleiber, E. Gelisse e C. Lepousé. "Complications extraneurologiques des hémorragies sous-arachnoïdiennes anévrismales". Médecine Intensive Réanimation 27, n.º 5 (4 de julho de 2018): 413–20. http://dx.doi.org/10.3166/rea-2018-0055.
Texto completo da fonteTeses / dissertações sobre o assunto "Pronostic et management de la santé"
Gaudel, Quentin. "Approche intégrée de diagnostic et de pronostic pour la gestion de santé des systèmes hybrides sous incertitude". Thesis, Toulouse, INSA, 2016. http://www.theses.fr/2016ISAT0019/document.
Texto completo da fonteThis study takes place in the field of system health management, which aims at developing maintenance aid tools, but also at improving the systems autonomous decision-making in case of failures. In this context, diagnostic techniques determine whether and why the system is down, while prognostic techniques determine when failures will occur and their consequences. If they seem to be correlated, they are usually studied separately because the time scales manipulated by the two processes are very different. This work aims at developing a tool that integrates both diagnosis and prognosis methods for the monitoring of hybrid systems, whose dynamics are both continuous and discrete. The proposed methodology, based on hybrid particle Petri nets, is applied to a planetary rover to demonstrate its usability in real cases through the management of knowledge-based and data-based uncertainty
Shahin, Kamrul. "Modèle graphique probabiliste appliqué au diagnostic de l'état de santé des systèmes, au pronostic et à l'estimation de la durée de vie résiduelle". Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0129.
Texto completo da fonteThis thesis contributes to prognosis and health management for assessing health condition of complex systems. In the context of operational management and operational safety of systems, we propose to investigate how Dynamic Probabilistic Graphical Modelling (DPGM) can be used to diagnose the current health state of systems, prognostic the future health state, and the evolution of degradation, as well as estimate its remaining useful life based on its operating conditions. System degradation is generally unknown and requires shutting down the system to be observed. However, this is difficult or even impossible during system operation. Though, a set of observable quantities on a system or component can characterise the level of degradation and help to estimate the remaining useful life of components and systems. The DPGM provides an approach suitable for modelling the evolution of the health state of systems and components. The aim of this thesis is to transpose and capitalize on the experience of these previous works in a prognostic context on the basis of a more efficient DPGM taking into account the available knowledge on the system. We extend the classical HMM family models to the IOHMM to allow the time propagation of uncertainty to address prognostic problems. This research includes the extension of learning and inference algorithms. Variants of the HMM model are proposed to incorporate the operating environment into the prognosis. The aim of this thesis is to contribute to solving the following scientific locks: - Considering the state of health whatever the complexity of the system by a stochastic model and learning the model parameters from the available measurements on the system. - Establish a diagnosis of the state of health of the system and the prognosis of its evolution by integrating several operational conditions. - Estimate the remaining useful life of components and structured systems with series and parallel components. This is a major challenge because the prognosis of the degradation of system components makes it possible to define strategies for either control or maintenance in relation to the residual life of the system. This allows the reduction of the probability of occurrence of a shutdown due to a system malfunction either by adjusting the degradation speed to fit in with a preventive maintenance plan or by proactively planning maintenance interventions
Bencheikh, Ghita. "Planification conjointe des activités de production et de maintenance en fonction de l'état de santé des ressources". Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0005.
Texto completo da fonteAs production systems have become highly developed, they use more complex processes and more sophisticated machines. However, despite how powerful the machines may be, their health status deteriorates over time and through their use. Maintenance processes are therefore unavoidable for a production system, because planning production without taking maintenance into account can lead to costly re-scheduling. In order to increase the productivity of companies, waiting for production equipment failures to occur before maintaining them is no longer an appropriate maintenance policy because production schedules are often disrupted due to unexpected machine downtime. In addition, corrective maintenance operations, often carried out on an emergency basis, take longer than preventive maintenance operations for which logistics is anticipated. For this reason, as part of conditional maintenance (CBM), predictive maintenance policies are attracting increasing interest from researchers because they make it possible to anticipate failures by scheduling maintenance tasks on equipment components according to their health status and their expected remaining useful life. Indeed, recently developed prognostic and health management (PHM) methods process the data provided by monitoring sensors that can be installed in equipment to provide a decision support tool that allows optimal use of resources. However, these proposed methods are only used for maintenance planning without taking into consideration future resource uses for production. Generally, production and maintenance tasks are planned separately in real manufacturing systems. This often leads to conflicts between these two functions, because the operations of each are perceived as a source of disruption by the other. These conflicts affect the overall productivity of companies, hence the importance of cooperation between production and maintenance managers to ensure punctuality and quality of production to improve the company's profits. Joint production planning and maintenance thus seems more appropriate. However, the implementation of such planning requires prior knowledge of the availability of the machines. It seems that the fusion of concepts from scheduling, CBM and PHM has the potential to allow joint planning of production and maintenance tasks based on the health status of the machines. The joint planning method we propose is based on Multi-Agent Systems (MAS) which have allowed us to model each entity of the problem as an autonomous agent. The MAS proposed in this work is composed of agents responsible for manufacturing orders (customer agents), machines (production agents) and maintenance resources (maintenance agents) who communicate with each other through a blackboard (environment). Producer agents schedule production operations based on the current and future health status of their machines, estimated using PHM techniques, and plan for maintenance activities when the health status of the machines becomes critical. Through a communication protocol between the agents, they manage to converge to a solution that satisfies all decision-makers. Our model, which we have called SCEMP, is a flexible, generic and distributed model that can be used in a wide variety of systems
Silva, Sanchez Rosa Elvira. "Contribution au pronostic de durée de vie des systèmes piles à combustible PEMFC". Thesis, Besançon, 2015. http://www.theses.fr/2015BESA2005/document.
Texto completo da fonteThis thesis work aims to provide solutions for the limited lifetime of Proton Exchange Membrane Fuel Cell Systems (PEM-FCS) based on two complementary disciplines:A first approach consists in increasing the lifetime of the PEM-FCS by designing and implementing a Prognostics & Health Management (PHM) architecture. The PEM-FCS are essentially multi-physical systems (electrical, fluid, electrochemical, thermal, mechanical, etc.) and multi-scale (time and space), thus its behaviors are hardly understandable. The nonlinear nature of phenomena, the reversibility or not of degradations and the interactions between components makes it quite difficult to have a failure modeling stage. Moreover, the lack of homogeneity (actual) in the manufacturing process makes it difficult for statistical characterization of their behavior. The deployment of a PHM solution would indeed anticipate and avoid failures, assess the state of health, estimate the Remaining Useful Lifetime (RUL) of the system and finally consider control actions (control and/or maintenance) to ensure operation continuity.A second approach proposes to use a passive hybridization of the PEMFC with Ultra Capacitors (UC) to operate the fuel cell closer to its optimum operating conditions and thereby minimize the impact of aging. The UC appear as an additional source to the PEMFC due to their high power density, their capacity to charge/discharge rapidly, their reversibility and their long life. If we take the example of fuel cell hybrid electrical vehicles, the association between a PEMFC and UC can be performed using a hybrid of active or passive type system. The overall behavior of the system depends on both, the choice of the architecture and the positioning of these elements in connection with the electric charge. Today, research in this area focuses mainly on energy management between the sources and embedded storage and the definition and optimization of a power electronic interface designated to adjust the flow of energy between them. However, the presence of power converters increases the source of faults and failures (failure of the switches of the power converter and the impact of high frequency current oscillations on the aging of the PEMFC), and also increases the energy losses of the entire system (even if the performance of the power converter is high, it nevertheless degrades the overall system)
Bouaziz, Mohammed Farouk. "Contribution à la modélisation Bayésienne de l'état de santé d'un système complexe : application à l'industrie du semi-conducteur". Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00993732.
Texto completo da fonteYue, Meiling. "Contribution of developing a prognostics-based energy management strategy for fuel cell hybrid system - application to a fuel cell/battery hybrid electric vehicle". Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCD029.
Texto completo da fonteFuel cell hybrid propulsion system is gaining momentum in today's automotive market and offers a sustainable solution for the world climate change in the transport sector. However, the durability and reliability of the power sources used in the hybrid system are the inevitable obstacles for its massive commercialization. To optimize and maximize the lifespan of the hybrid system, a prognostics and health management (PHM) approach is deployed to manage and mitigate the power source degradation behaviour and applied to a fuel cell hybrid electric vehicle.In this context, two main contributions are made. The first stage is to deploy a prognostics method that can be used in the hybrid system. Particle filtering, as a commonly used state estimation method, is adapted for prognostics purpose in this thesis. It is used to handle the imprecise and uncertain degradation data and estimate the remaining useful life. The method is validated by historical fuel cell and battery datasets and the results are evaluated by the designed prognostics metrics.Subsequently, a second stage on the health management aspect of PHM is proposed. As the split of demanded power in a hybrid system is managed by an energy management strategy (EMS), the orientation of this stage is to develop a health-conscious EMS in the context of PHM. A great quantity of researches on prognostics with finished experimental data have been found in the literature, while how to use the prognostics results to make corrective control actions is rarely discussed. To help against this vacancy in hybrid system applications, a prognostics-enabled decision-making process is designed. The performance is evaluated by quantifying the degradation and the lifetime of the system in a simulated environment and a discussion on prognostics occurrence is launched for further investigations on maintenance
Chaoub, Alaaeddine. "Deep learning representations for prognostics and health management". Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0057.
Texto completo da fonteThis thesis contributes to the application of Deep Learning (DL) in Remaining useful life (RUL) prediction of industrial equipment, addressing significant challenges in this field. Our research is driven by the need to develop DL architectures that mitigate performance degradation under various operating conditions, to improve model interpretability, and to address data scarcity by leveraging external (un)labeled data. We structured our work into two principal parts. In the first part, we explore architectures capable of handling data variability resulting from different operating conditions, without manual feature engineering. This led us to propose an MLP-LSTM-MLP architecture. By employing an MLP at the first stage, we were able to normalize this variability, thus improving performances under such settings. Furthermore, To enhance interpretability, we proposed to replaced the first-stage MLP stage with a Gated mixture of experts (GMoE) system, enabling interpretable decomposition based on operating conditions. The second part of the thesis addresses the issue of data scarcity, a widely recognized challenge in the Prognostics and health management (PHM) field. Through the introduction of adapters, i.e. task-specific layers that address the challenge of handling multiple input/output structures, we proposed an auxiliary training approach that leverages external labeled data, presenting a method that surpasses traditional techniques found in the literature. Moreover, to utilize external unlabeled data in auxiliary training, We proposed a meta-learning approach to automatically derive auxiliary objectives from these data by pseudo-labeling them in an end-task aware manner. The goal of this part was to leverage broader spectrum of available data to improve RUL prediction performances. In reflecting upon our work, we acknowledge the limitations of the proposed approaches and suggest both immediate and long-term directions for future research. These include tackling the challenges of processing long sequence data, further improving model interpretability, addressing data scarcity with more advanced training methodologies, and exploring the potential of federated learning and large language models in industrial settings
Bastide, Victor. "Facteurs de pronostic des jumeaux : expérience du CHU de Montpellier entre le 01.01.1986 et le 31.12.1990". Montpellier 1, 1993. http://www.theses.fr/1993MON11038.
Texto completo da fonteDievart, Mickaël. "Architectures de diagnostic et de pronostic distribuées de systèmes techniques complexes de grande dimension". Thesis, Toulouse, INPT, 2010. http://www.theses.fr/2010INPT0063/document.
Texto completo da fonteIn this dissertation, various architectures for the control and the monitoring of Large Scale Complex Technical Systems (LSCTS) are discussed. The problematic of condition-based maintenance and health status assessment is defined. A diagnostic and prognostic typology is presented leading to the assessment of the health status of LSCTSs. Decentralized diagnosis studies are discussed then the contributions of the ICT and of the distributed technologies for the diagnosis are presented. Thereafter, the distributed diagnosis and works relative to this kind of deployments are introduced. The limits of the centralized and decentralized diagnosis approaches are presented. Then the centralized approaches are compared to the distributed ones. Information and/or knowledge that support the diagnosis and the prognosis as well as their modeling in order to exploit them are described and formalized. A characterization is proposed for the different status of a component can be in. Requirements are described for the monitoring layer of the LSCTSs are described in order to implement the proposed diagnosis and prognosis principles that are then specified by the means of algorithms. Eventually, a health assessment method of the LSCTSs is also proposed. Several deployments can be considered to implement the health assessment of the LSCTSs. A simulation platform, which was developed to evaluate the performances of the centralized and the distributed deployments, is presented. Among the purposes of the platform, one is to behave as the monitoring layer of a LSCTS. A use case is proposed for two deployments and their performances are compared
Schacht, Rodriguez Ricardo. "Planification de la mission des drones basée sur le pronostic et la gestion de la santé". Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0257.
Texto completo da fonteRotorcraft Unmanned Aerial Vehicles (UAV) with take-off and vertical landing capabilities or multirotors have proved to be an efficient and low-cost solution for civil flight applications due to significant advances in the development of robust and more efficient altitude and attitude control strategies, planning and re-planning algorithms capable of detecting and avoiding obstacles and Fault Diagnosis & Fault Tolerant Control methods. In most applications where multirotors are used, they develop different task as exploration, photogrammetry, filming, mapping and more recently all those dedicated to precision agriculture such as irrigation and crop monitoring. During the task development, the multirotor executes a mission which consists to fly through a set of paths connected by n reference points (named way-points) inside a known or unknown area. However, during the mission development, different negative factors decrease the multirotor flight performance such as environmental conditions, occurrence of faults or failures in actuators/sensors and energetic limitations due to the power source constraints. The energetic limitation problem in a multirotor are due to power capabilities that on-board battery can supply. Due to power and energy requirements, multirotors are powered by Lithium Polymer batteries which are rechargeable batteries of Lithium-Ion technology. They possess a polymer electrolyte instead of a liquid electrolyte and provide high power and energy densities. However, according to the use due to the number of charge/discharge cycles and other factors like damage provoked by over-discharges, the battery performances tend to decrease. Such decrease or aging causes a reduction in the efficiency of the UAV multirotor flight by the decrease of the total mission time or flight endurance, and leads to maneuverability problem, which increases the risk of crash and collision. This thesis topic addresses the issues concerning to battery performances and its influence into the mission and path planning tasks. By considering model-based prognosis techniques and path planning methods, a hierarchy mission planning strategy based on energy consumption is proposed and validated at simulation level considering different flight situations. The UAV performances, as well as its capability to execute and fulfill a mission is weighted by the computation of the battery State of Health (SoH) which is an index to measure the degradation level of the battery. The SoH helps to estimate the battery Remaining Useful Life (RUL) and establishes the energy limitation by the computation of the Maximum Flight Endurance (MFE). Such information is necessary to path planning generation which not only consider the constraints related to the power source but also the scopes and limitations of the mission to be executed. In addition, the main concern of this thesis are long time-distance missions e.g exploration or inspection of remote areas where it is fundamental to have a proper use of energy aboard the multirotor
Livros sobre o assunto "Pronostic et management de la santé"
Jorge, Muñoz, ed. Management des entreprises et santé des salariés. Rennes: Presses universitaires de Rennes, 2009.
Encontre o texto completo da fontenormalisation, Association française de, ed. Management de la santé et de la sécurité au travail. Saint-Denis-La Plaine: Afnor, 2007.
Encontre o texto completo da fonte1963-, Delmas Philippe, e Mayrand Leclerc Martine 1957-, eds. Sortir du management panique. Rueil-Malmaison: Éd. Lamarre, 2006.
Encontre o texto completo da fonteFrance. Haut Comité de la santé publique. Politiques publiques, pollution atmosphérique et santé: Poursuivre la réduction des risques. Rennes: Ecole nationale de la santé publique (ENSP), 2000.
Encontre o texto completo da fonteGibeault, Gaëtan. Les clés de la santé-sécurité au travail: Principes et méthodes de management. Saint-Denis-La Plaine: AFNOR, 2004.
Encontre o texto completo da fonteRouzaud, Philippe. Salariés, le Lean tisse sa toile et vous entoure: Petit manuel à l'usage de ceux qui se préoccupent du travail et de la santé. Paris: Harmattan, 2011.
Encontre o texto completo da fonteLegault, Marie-Josée, Elena Laroche e Jacqueline Dionne. Gestion de la santé et de la sécurité au travail. Montréal: Chenelière-éducation, 2013.
Encontre o texto completo da fonteBoix, Anne-Marie. L'ACCRÉDITATION HOSPITALIÈRE - Quel impact sur la culture et le management des établissements de santé? Paris: Editions L'Harmattan, 2003.
Encontre o texto completo da fonteWisotzki, Nancy Wagner. Fitness and lifestyle management for law enforcement. 3a ed. Toronto: Emond Montgomery Publications, 2008.
Encontre o texto completo da fonteAlexander, Jane. Le mieux-être en un week-end: Programmes infaillibles pour revitaliser le corps, l'esprit et l'âme-- chez soi. Outremont, Québec: Trécarré, 2002.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Pronostic et management de la santé"
Renzi, Pietro, e Alberto Franci. "EGIPSS model for the evaluation of performance in healthcare". In Proceedings e report, 167–72. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.32.
Texto completo da fonteLe Roux, Jean-Marc, Gérard de Daran e Claude Anne Doussot-Laynaud. "Chapitre 2. Les mécanismes et le pilotage budgétaires et financiers des établissements sanitaires, sociaux et médico-sociaux". In Le management en santé, 315–55. Presses de l’EHESP, 2018. http://dx.doi.org/10.3917/ehesp.louaz.2018.01.0315.
Texto completo da fonteLangevin, François, Claire Imbaud, Marc-Olivier Jaffre, Bertrand Lepage e Stéphanie Mistrot. "Chapitre 5. Technologies de santé et architecture hospitalière. Ingénierie et management". In Le management en santé, 219–41. Presses de l’EHESP, 2018. http://dx.doi.org/10.3917/ehesp.louaz.2018.01.0219.
Texto completo da fonteJaspard, Hubert. "Chapitre 2. Politique sociale et performance". In Le management en santé, 429–48. Presses de l’EHESP, 2018. http://dx.doi.org/10.3917/ehesp.louaz.2018.01.0429.
Texto completo da fonteHesbeen, Walter. "Éthique du quotidien et management". In Cadre De Santé De Proximité, 105–27. Elsevier, 2011. http://dx.doi.org/10.1016/b978-2-294-71419-1.00008-4.
Texto completo da fonteRenard, Luc. "Chapitre 3. Le financement des établissements et services". In Le management en santé, 57–71. Presses de l’EHESP, 2018. http://dx.doi.org/10.3917/ehesp.louaz.2018.01.0057.
Texto completo da fonteLouazel, Michel, e Nicole Bohic. "Chapitre 1. L’offre hospitalière, sociale et médico-sociale". In Le management en santé, 17–38. Presses de l’EHESP, 2018. http://dx.doi.org/10.3917/ehesp.louaz.2018.01.0017.
Texto completo da fonteMeunier, Baudouin, Anne Francaux e Isabelle Van der Brempt. "Chapitre VI. Management du social et valeurs chrétiennes". In Une santé « chrétienne » ?, 167–229. Presses de l’Université Saint-Louis, 1995. http://dx.doi.org/10.4000/books.pusl.12861.
Texto completo da fonteMarrauld, Laurie, e Roland Ollivier. "Chapitre 3. Manager en impliquant les usagers et les citoyens dans le pilotage des établissements et services de santé". In Le management en santé, 179–202. Presses de l’EHESP, 2018. http://dx.doi.org/10.3917/ehesp.louaz.2018.01.0179.
Texto completo da fonteBartoli, Annie, e Philippe Hermel. "Management et santé mentale : de prometteuses interrelations". In Case Management et Psychiatrie, 1–10. Elsevier, 2021. http://dx.doi.org/10.1016/b978-2-294-77061-6.00001-9.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Pronostic et management de la santé"
Roume, M., S. Azogui-Lévy, G. Lescaille, V. Descroix e J. Rochefort. "Connaissances, attitudes et pratiques en pathologie de la muqueuse buccale des chirurgiens-dentistes en France, enquête nationale". In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206602010.
Texto completo da fonteLan, R., F. Campana, J. H. Catherine, U. Ordioni e D. Tardivo. "Nouvelles techniques d’aide au diagnostic des lésions pré-cancéreuses et cancéreuses de la cavité orale : revue systématique et résultats préliminaires". In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206602018.
Texto completo da fonteOujdad, S., S. Zafad, H. El Attar e I. Ben Yahya. "Histiocytose langerhansienne de l’adulte : à propos d’un cas". In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603013.
Texto completo da fonte