Letteratura scientifica selezionata sul tema "Contexte médical d’urgence"
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Articoli di riviste sul tema "Contexte médical d’urgence"
CELLARIER, D., O. MARTINEAU, A. LABARTHE, D. CLAMEN, H. CHIANEA, G. MICHOUD, J. LESACA e L. AIGLE. "Retour d’expérience du soutien réel de troupes aéroportées durant l’exercice ORION". Revue Médecine et Armées, Volume 50, Numéro 3 (11 settembre 2024): 41–52. http://dx.doi.org/10.17184/eac.8884.
Testo completoZAMPARO, O., L. MAGOT, F. DAPHNIET e A. CUGERONE. "Évaluation du niveau de connaissance de la population sur l’infarctus du myocarde. Étude dans les pharmacies de Dordogne". EXERCER 35, n. 203 (1 maggio 2024): 212–18. http://dx.doi.org/10.56746/exercer.2024.203.212.
Testo completoFAVIER, J. C., L. AIGLE, G. TONDEUR, N. CAZES e J. LEYRAL. "Quelles devraient être les indications de l’échographie en Role 1?" Médecine et Armées Vol. 42 No. 4, Volume 42, Numéro 4 (1 ottobre 2014): 315–20. http://dx.doi.org/10.17184/eac.7040.
Testo completoMINET, M., B. LOGNOS, S. PAVAGEAU, K. GRIFFITHS, P. SERAYET, B. PASCAL e F. CARBONNEL. "Médecin correspondant SAMU : le médecin généraliste au coeur de l'aide médicale urgente". EXERCER 35, n. 201 (1 marzo 2024): 112–18. http://dx.doi.org/10.56746/exercer.2024.201.112.
Testo completoJulien, Samuel, Julie Roger, Jerome Range, Cheikh Faye, Hector Ignacio Castellucci, Mathieu Tremblay e Martin Lavallière. "Instagram : une nouvelle avenue pour documenter et influencer la santé et sécurité au travail". Revue Organisations & territoires 31, n. 3 (9 gennaio 2023): 129–35. http://dx.doi.org/10.1522/revueot.v31n3.1524.
Testo completoVICARD, A., M. GARETIER, J. PONTIS, J. M. CUVILLIER e J. ROUSSET. "Pratique et apprentissage de l’échographie au sein des forces sous-marines". Médecine et Armées Vol. 42 No. 5, Volume 42, Numéro 5 (1 dicembre 2014): 413–20. http://dx.doi.org/10.17184/eac.7052.
Testo completoLvovschi, Virginie, Harald Herkner, Julie Dumouchel, Sébastien Beroud, Nordine Nekhili, Patrick Miroux, Yannick Auffret et al. "La cochrane en médecine d’urgence et en réanimation : activités et adaptation pendant la pandémie COVID-19". Médecine Intensive Réanimation 31, n. 3 (23 settembre 2022): 165–74. http://dx.doi.org/10.37051/mir-00108.
Testo completoBARBIER, O., B. MALGRAS, M. SOULA, L. PETIT e A. POLYCARPE. "Retour d’expérience du déploiement initial de la 14e Antenne chirurgicale parachutiste en République Centrafricaine — Opération « Sangaris » mandat I — décembre 2013". Médecine et Armées Vol. 43 No. 4, Volume 43, Numéro 4 (1 ottobre 2015): 386–92. http://dx.doi.org/10.17184/eac.6901.
Testo completoDjogovic, Dennis, Robert Green, Robert Keyes, Sara Gray, Robert Stenstrom, David Sweet, Jonathan Davidow et al. "Liste de contrôle de l’Association canadienne des médecins d’urgence concernant le traitement de la sepsie: optimisation de la prise en charge de la sepsie au sein des services des urgences canadiens". CJEM 14, n. 01 (gennaio 2012): 40–44. http://dx.doi.org/10.2310/8000.2011.110610f.
Testo completoMalfilatre, Marie Ghis. "Dans les paradoxes du virage numérique en santé". Santé numérique 28 (2024). http://dx.doi.org/10.4000/11r35.
Testo completoTesi sul tema "Contexte médical d’urgence"
Deschamps-Berger, Théo. "Social Emotion Recognition with multimodal deep learning architecture in emergency call centers". Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG036.
Testo completoThis thesis explores automatic speech-emotion recognition systems in a medical emergency context. It addresses some of the challenges encountered when studying emotions in social interactions. It is rooted in modern theories of emotions, particularly those of Lisa Feldman Barrett on the construction of emotions. Indeed, the manifestation of emotions in human interactions is complex and often characterized by nuanced, mixed, and is highly linked to the context. This study is based on the CEMO corpus, which is composed of telephone conversations between callers and emergency medical dispatchers (EMD) from a French emergency call center. This corpus provides a rich dataset to explore the capacity of deep learning systems, such as Transformers and pre-trained models, to recognize spontaneous emotions in spoken interactions. The applications could be to provide emotional cues that could improve call handling and decision-making by EMD, or to summarize calls. The work carried out in my thesis focused on different techniques related to speech emotion recognition, including transfer learning from pre-trained models, multimodal fusion strategies, dialogic context integration, and mixed emotion detection. An initial acoustic system based on temporal convolutions and recurrent networks was developed and validated on an emotional corpus widely used by the affective community, called IEMOCAP, and then on the CEMO corpus. Extensive research on multimodal systems, pre-trained in acoustics and linguistics and adapted to emotion recognition, is presented. In addition, the integration of dialog context in emotion recognition was explored, underlining the complex dynamics of emotions in social interactions. Finally, research has been initiated towards developing multi-label, multimodal systems capable of handling the subtleties of mixed emotions, often due to the annotator's perception and social context. Our research highlights some solutions and challenges in recognizing emotions in the wild. The CNRS AI HUMAAINE Chair: HUman-MAchine Affective Interaction & Ethics funded this thesis
Capitoli di libri sul tema "Contexte médical d’urgence"
JOUBERT, C., J. B. MORVAN, P. ESNAULT, A. FAIVRE, P. VERDALLE e A. DAGAIN. "Abcès intracrâniens d’origine otologique chez l’adulte immunocompétent". In Médecine et Armées Vol. 44 No.3, 251–55. Editions des archives contemporaines, 2016. http://dx.doi.org/10.17184/eac.6815.
Testo completoDEJEAN DE LA BÂTIE, Alice. "A l’aube de l’ère pénale sanitaire". In Les épidémies au prisme des SHS, 251–55. Editions des archives contemporaines, 2022. http://dx.doi.org/10.17184/eac.6011.
Testo completo