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Academic literature on the topic 'Médecine prédictive – Méthodes statistiques'
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Journal articles on the topic "Médecine prédictive – Méthodes statistiques"
LOTFI, Siham, and Hicham MESK. "Prévision de Défaillance Des entreprises : Apport des Réseaux de Neurones Artificiels." International Journal of Financial Accountability, Economics, Management, and Auditing (IJFAEMA) 3, no. 3 (June 1, 2021): 70–79. http://dx.doi.org/10.52502/ijfaema.v3i3.53.
Full textFlora, Luigi, Philippe Karazivan, Guillaume Dumais-Lévesque, Alexandre Berkesse, Vincent Dumez, Annie Janvier, Robert Gagnon, and Antoine Payot. "Impliquer des patients dans la révision d’un curriculum de formation en médecine : une étude mixte sur l’intégration d’une perspective d’éthique clinique." Pédagogie Médicale 21, no. 2 (2020): 65–74. http://dx.doi.org/10.1051/pmed/2020033.
Full textRoth, Kirk, and D. Robert Siemens. "The status of evidence-based medicine education in urology residency." Canadian Urological Association Journal 4, no. 2 (April 16, 2013): 114. http://dx.doi.org/10.5489/cuaj.807.
Full textIdakari, C. N., A. M. Efunshile, I. E. Akase, C. S. Osuagwu, P. Oshun, and O. O. Oduyebo. "Evaluation of procalcitonin as a biomarker of bacterial sepsis in adult population in a tertiary healthcare facility in Lagos, Nigeria." African Journal of Clinical and Experimental Microbiology 23, no. 2 (May 13, 2022): 131–40. http://dx.doi.org/10.4314/ajcem.v23i2.
Full text"Concepts et méthodes statistiques pour le lecteur d'etudes cliniques en médecine d'urgence." Journal of Emergency Medicine 9, no. 4 (July 1991): 303. http://dx.doi.org/10.1016/0736-4679(91)90458-r.
Full textAdmin, Admin, TIEMTORE-KAMBOU Bénilde Marie-Ange, NAPON Aischa Madina, NDE OUEDRAOGO Nina Astrid, DIALLO Ousséini, LOUGUE/SORGHO Claudine Léonie, and CISSE Rabiou. "Évaluation préliminaire de l’enseignement du cours d’imagerie médicale par les étudiants en médecine de l’université Joseph Ki-Zerbo." Journal Africain d'Imagerie Médicale (J Afr Imag Méd). Journal Officiel de la Société de Radiologie d’Afrique Noire Francophone (SRANF). 12, no. 3 (December 27, 2020). http://dx.doi.org/10.55715/jaim.v12i3.116.
Full textMcDonald, Barbara, Ian Gibson, Elizabeth Yates, and Carol Stephenson. "An Exploration of Faculty Experiences With Open Access Journal Publishing at Two Canadian Comprehensive Universities." Partnership: The Canadian Journal of Library and Information Practice and Research 11, no. 2 (February 21, 2017). http://dx.doi.org/10.21083/partnership.v11i2.3703.
Full textCheng, Wendy, Tony K. L. Kiang, Penny Bring, and Mary H. H. Ensom. "Predictive Performance of the Winter–Tozer and Derivative Equations for Estimating Free Phenytoin Concentration." Canadian Journal of Hospital Pharmacy 69, no. 4 (August 31, 2016). http://dx.doi.org/10.4212/cjhp.v69i4.1573.
Full textKendrick, Jennifer, Arielle Beauchesne, Yunji Valerie Lee, Sue Corrigan, and Roxane Carr. "Conflict between Pharmacy Preceptors and Pharmacy Learners in Experiential Education." Canadian Journal of Hospital Pharmacy 74, no. 1 (January 20, 2021). http://dx.doi.org/10.4212/cjhp.v74i1.3044.
Full textRafizadeh, Reza, Ricky D. Turgeon, Josh Batterink, Victoria Su, and Anthony Lau. "Characterization of Venous Thromboembolism Risk in Medical Inpatients Using Different Clinical Risk Assessment Models." Canadian Journal of Hospital Pharmacy 69, no. 6 (December 23, 2016). http://dx.doi.org/10.4212/cjhp.v69i6.1608.
Full textDissertations / Theses on the topic "Médecine prédictive – Méthodes statistiques"
Koskas, Martin. "Utilisation et développement d'outils statistiques pour la prédiction individuelle du statut ganglionnaire dans le cancer de l'endomètre." Thesis, Versailles-St Quentin en Yvelines, 2014. http://www.theses.fr/2014VERS0038.
Full textEndometrial cancer is the most common malignancy of the female genital tract. Lymph node metastasis is one of the most important prognostic factors. However, the therapeutic role of lymphadenectomy is still debated.We developed the score PREGE, able to predict lymph node metastasis based on pathological hysterectomy characteristics in endometrial cancer. Data from almost 20,000 patients who underwent hysterectomy and lymphadenectomy were analyzed and significant prognostic features were selected: final pathological characteristics (histologic type, grade and primary site tumoral extension) and patients’ characteristics (age and race). In a French multicentric cohort, the nomogram showed good discrimination (AUC=0.79 ) and was well calibrated.Lymph node metastasis prediction by the score using preoperative data was as accurate as that obtained using the final tumor characteristics. With a cut-off value of 100 points for the total score, the negative predictive value was 100%.Patients were clustered into quintiles according to their lymph node metastasis probability. The cancer related survival was compared based on whether patients underwent lymphadenectomy. In the five quintile groups, the specific survival rate was significantly higher in the patients who did not undergo lymphadenectomy. However, when lymph node letastatic probabilityexceeded 20%, specific survival was higher in patients in whom at least 10 lymph nodes were removed.PREGE score could be useful to select few patients who will really benefit from lymphadenectomy and avoid lymphadenectomy in most patients with endometrial cancer
Harrison, Josquin. "Imagerie médicale, formes et statistiques pour la prédiction du risque d'accident vasculaire cérébral dans le cadre de la fibrillation atriale." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4027.
Full textAtrial Fibrillation (AF) is a complex heart disease of epidemic proportions. It is characterized by chaotic electrical activation which creates a haemodynamic environment prone to clot formation and an increase in risk of ischemic strokes. Although treatments and interventions exist to reduce stroke incidence, they often imply an increase in risk of other complications or consist in invasive procedures. As so, attempts of stratifying stroke risk in AF is of crucial importance for clinical decision-making. However, current widely used risk scores only rely on basic patient information and show poor performance. Importantly, no known markers reflect the mechanistic process of stroke, all the while more and more patient data is routinely available. In parallel, many clinical experts have hypothesized that the Left Atrium (LA) has an important role in stroke occurrence, yet have only relied on subjective measures to verify it. In this study, we aim at taking advantage of the evolving patient imaging stratification to substantiate this claim. Linking the anatomy of the LA to the risk of stroke can directly be translated into a geometric problem. Thankfully, the study and analysis of shapes knows a long-standing mathematical history, in theory as well as application, of which we can take full advantage. We first walk through the many facets of shape analysis, to realise that, while powerful, global methods lack clinically meaningful interpretations. We then set out to use these general tools to build a compact representation specific to the LA, enabling a more interpretable study. This first attempt allows us to identify key facts for a realistic solution to the study of the LA. Amongst them, any tool we build must be fast and robust enough for potentially large and prospective studies. Since the computational crux of our initial pipeline lies in the semantic segmentation of the anatomical parts of the LA, we focus on the use of neural networks specifically designed for surfaces to accelerate this problem. In particular, we show that representing input shapes using principal curvature is a better choice than what is currently used, regardless the architecture. As we iteratively update our pipeline, we further the use of the semantic segmentation and the compact representation by proposing a set of expressive geometric features describing the LA which are well in line with clinicians expectations yet offering the possibility for robust quantitative analysis. We make use of these local features and shed light on the complex relations between LA shape and stroke incidence, by conducting statistical analysis and classification using decision tree based methods. Results yield valuable insights for stroke prediction: a list of shape features directly linked to stroke patients; features that explain important indicators of haemodynamic disorder; and a better understanding of the impact of AF state related LA remodelling. Finally, we discuss other possible use of the set of tools developed in this work, from larger cohorts study, to the integration into multi-modal models, as well as opening possibilities for precise sensitivity analysis of haemodynamic simulation, a valuable next step to better understand the mechanistic process of stroke
Louis, Maxime. "Méthodes numériques et statistiques pour l'analyse de trajectoire dans un cadre de géométrie Riemannienne." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS570.
Full textThis PhD proposes new Riemannian geometry tools for the analysis of longitudinal observations of neuro-degenerative subjects. First, we propose a numerical scheme to compute the parallel transport along geodesics. This scheme is efficient as long as the co-metric can be computed efficiently. Then, we tackle the issue of Riemannian manifold learning. We provide some minimal theoretical sanity checks to illustrate that the procedure of Riemannian metric estimation can be relevant. Then, we propose to learn a Riemannian manifold so as to model subject's progressions as geodesics on this manifold. This allows fast inference, extrapolation and classification of the subjects
Arimone, Yannick. "Elaboration et validation d'une nouvelle méthode d'imputabilité en pharmacovigilance." Bordeaux 2, 2004. http://www.theses.fr/2004BOR21158.
Full textWe propose a new approach for the assessment of adverse drug reactions (ADRs), based on the logistic function, in which seven operational criteria were weighted in a regression model by using a consensus of experts as gold standard. A sample of 30 ADRs involving to 32 suspect drugs was randomly selected from the French pharmacovigilance database. The probability of drug causation was assessed by consensus by a first group of five senior experts using global introspection. This probability was used as gold standard. A second group of five senior experts assessed the seven criteria for each case. The statistical weighting was performed by using a multi-linear regression with logit(p) as dependent variable and the 7 seven judgement as independent variables. After assessment of the validity and reliability of the new method, a final and operational version was retained and proposed as routine tool
Hannequin, Pascal. "Applications des méthodes statistiques d'analyse multivariée au traitement des séries d'images en médecine nucléaire et en microscopie électronique." Reims, 1989. http://www.theses.fr/1989REIMS006.
Full textElfassihi, Latifa. "Modèles d'analyse simultanée et conditionnelle pour évaluer les associations entre les haplotypes des gènes de susceptibilité et les traits des maladies complexes : Application aux gènes candidats de l'ostéoporose." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/27404/27404.pdf.
Full textCarene, Dimitri. "Décrypter la réponse thérapeutique des tumeurs en intégrant des données moléculaires, pharmacologiques et cliniques à l’aide de méthodes statistiques et informatiques." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS589.
Full textCancer is the most frequent cause of death in the world, with 8.2 million death / year. Large-scale genome studies have shown that each cancer is characterized by a unique genomic profile. This has led to the development of precision medicine, which aims at targeting treatment using tumor genomic alterations that are patient-specific. In hormone-receptor positive/human epidermal growth factor receptor-2 negative early breast cancer, clinicopathologic characteristics are not sufficient to fully explain the risk of distant relapse, despite their well-established prognostic value. The main objective of this thesis project was to use statistical and computational methods to assess to what extent genomic alterations are involved in distant breast cancer relapse in addition to classic prognostic clinicopathologic parameters. This project used clinical and genomic data (i.e., copy numbers and driver gene mutations) from the PACS04 and METABRIC trial.In the first part of my thesis project, I first evaluated prognostic value of copy numbers of predefined genes including FGFR1, Fibroblast Growth Factor Receptor 1; CCND1, Cyclin D1; ZNF217, Zinc Finger Protein 217; ERBB2 or HER2, Human Epidermal Growth Factor, as well as a panel of driver gene mutations. Results from the PACS04 trial showed that FGFR1 amplification increases the risk of distant relapse, whereas mutations of MAP3K1 decrease the risk of relapse. Second, a genomic score based on FGFR1 and MAP3K1, allowed to identify three levels of risk of distant relapse: low risk (patients with a MAP3K1 mutation), moderate risk (patients without FGFR1 copy number aberration and without MAP3K1 mutation) and high risk (patients with FGFR1 amplification and without MAP3K1 mutation). Finally, this genomic score was validated in METABRIC, a publicly available database. In the second part of my thesis project, new prognostic genomic biomarkers of survival were identified using penalized methods of LASSO type, taking into account the block structure of the data.Keywords: Copy number aberrations (CNA), mutations, breast cancer (BC), biomarkers, variable selection methods, dimension reduction, cox regression
Lefèvre, Thomas. "Principes de méthodes " non classiques, non statistiques et massivement multivariées " et de réduction de la complexité. Applications en épidémiologie sociale et en médecine légale." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066336/document.
Full textSocial epidemiology and clinical legal medicine are hybrid objects that articulate several fields, accounting for social and interpersonal relationships. The complexity that characterizes them both is investigated through different viewpoints, scales and dimensions: the individual scale, the group scale and the society scale. The techniques used in biomedicine are not designed to properly deal with such a complexity, in a non-normative way. A wide range of alternative non-statistical, “non-classical” methods exist that can process simultaneously various dimensions so that we can reduce the apparent complexity of data while discovering scientific objects. Here, we present the principles and the use of clustering techniques, applied to social epidemiology. We applied different clustering techniques on data from the SIRS cohort to build a typology of healthcare utilization in the Paris metropolitan area. From an epistemological and technical viewpoint, we explain why these methods should take place beside other recognized but limited techniques such as randomized controlled trials. We introduce another but complementary kind of complexity reduction technique. The concept of intrinsic dimension is explained – the littlest dimension needed to describe properly data – and nonlinear dimensionality reduction techniques are applied in clinical legal medicine. With these tools, we explore whether the integration of multiple information sources is relevant in age estimation of living migrants. Finally, we discuss the pros and cons of these methods, as well as the opportunities they may create for both fields of social epidemiology and clinical legal medicine
Petit-Graffard, Claude. "Les Méthodes bayésiennes dans les essais cliniques multicritères à visée pharmaco-économique : cas d'un essai sur la schizophrénie." Paris 11, 1999. http://www.theses.fr/1999PA11T003.
Full textAhmadou, Alioum. "Méthodes statistiques pour données tronquées et censurées : application à l'estimation de la durée d'incubation du sida et à la correction de l'incidence du sida en fonction des délais de report." Bordeaux 2, 1994. http://www.theses.fr/1994BOR28303.
Full textBooks on the topic "Médecine prédictive – Méthodes statistiques"
Peat, Jennifer K. Medical statistics: A guide to data analysis and critical appraisal. Malden, Mass: Blackwell Pub., 2005.
Find full textArmitage, P. Statistical methods in medical research. 2nd ed. Oxford ; Boston: Blackwell Scientific ; Chicago, Ill. : Distributors, USA, Year Book Medical Publishers, 1987.
Find full textArmitage, P. Statistical methods in medical research. 4th ed. Oxford: Blackwell Scientific Publications, 2002.
Find full textG, Berry, and Matthews J. N. S, eds. Statistical methods in medical research. 4th ed. Malden, MA: Blackwell Science, 2001.
Find full textG, Berry, ed. Statistical methods in medical research. 3rd ed. Oxford: Blackwell Scientific Publications, 1994.
Find full text1932-, Bailar John C., and Mosteller Frederick 1916-, eds. Medical uses of statistics. Waltham, Mass: NEJM Books, 1986.
Find full textJack, Shostak, ed. Common statistical methods for clinical research with SAS examples. 3rd ed. Cary, NC: SAS Institute Inc., 2010.
Find full text1932-, Bailar John C., and Mosteller Frederick 1916-, eds. Medical uses of statistics. 2nd ed. Boston, Mass: NEJM Books, 1992.
Find full text1961-, Heo Moonseoung, Zhang Song 1976-, and Kim, Mimi (Mimi Y.), eds. Sample size calculations for clustered and longitudinal outcomes in clinical research. Boca Raton: CRC Press, Taylor & Francis, 2015.
Find full textYing, Lu, and Fang Jiqian, eds. Advanced medical statistics. New Jersey: World Scientific, 2003.
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