Academic literature on the topic 'Medical model'

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Journal articles on the topic "Medical model"

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Piasecki, Bartosz, and Karolina Kabzińska. "Neuropsychological deficits in depression – a challenge for cognitive-behavioral therapies." Journal of Medical Science 88, no. 4 (December 23, 2019): 227–34. http://dx.doi.org/10.20883/medical.318.

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Neuropsychological deficits in depression are a significant therapeutic challenge. Their occurrence means poor therapeutic prospects, worse social and professional functioning after therapy, as well as a higher risk of relapse. Despite clinical improvement, they often remain even in a state of complete remission. Beck’s model of depression does not include interventions directed at neuropsychological processes leading to neurocognitive mechanisms responsible for the development and maintenance of depression. More recent trends in cognitive-behavioral therapy seem to involve neuropsychological processes to a greater extent. This applies to Well’s metacognitive model, which focuses on the meta-level of thinking. Therapeutic process involves various aspects of attention, as well as detached mindfulness. Available empirical studies indicate that this therapy model is more effective in reducing neuropsychological deficits than Beck’s model. Acceptance and commitment therapy as well as mindfulness-based cognitivetherapy both focus on the development of skills that are related to the efficiency of executive functions and flexibility of attention, i.e. the cognitive processes whose deficits are characteristic of depression. However, research is needed to confirm their effectiveness in reducing neuropsychological deficiencies compared to other therapeutic models. Interventions in the field of cognitive remediationcan be used to enrich cognitive-behavioral therapies and increase their effectiveness. Until now, they have been used as a separate form of therapy, for example in anorexia.
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Sipola, Tuomo, Samir Puuska, and Tero Kokkonen. "Model Fooling Attacks Against Medical Imaging: A Short Survey." Information & Security: An International Journal 46, no. 2 (2020): 215–24. http://dx.doi.org/10.11610/isij.4615.

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Scutchfield, F. Douglas. "The Medical Model." American Journal of Preventive Medicine 5, no. 2 (March 1989): 116–19. http://dx.doi.org/10.1016/s0749-3797(18)31640-4.

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Shah, Premal, and Deborah Mountain. "The medical model is dead – long live the medical model." British Journal of Psychiatry 191, no. 5 (November 2007): 375–77. http://dx.doi.org/10.1192/bjp.bp.107.037242.

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SummaryMany people criticise, and psychiatrists apologise, for the use of the ‘medical model’. We examine what is currently meant by this term and suggest a refinement of definition to reflect the ideals and contemporary practice of medicine. We propose that psychiatrists should use the medical model to improve and validate bio-psychosocial psychiatric medicine.
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Vashistha, Rajeev. "A Model of Consortium for Medical College Libraries of Rajasthan." Indian Journal of Applied Research 2, no. 3 (October 1, 2011): 88–90. http://dx.doi.org/10.15373/2249555x/dec2012/28.

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Zubair Asghar, Muhammad, Aurangzeb Khan, Fazal Masud Kundi, Maria Qasim, Furqan Khan, Rahman Ullah, and Irfan Ullah Nawaz. "Medical opinion lexicon: an incremental model for mining health reviews." International Journal of Academic Research 6, no. 1 (January 30, 2014): 295–302. http://dx.doi.org/10.7813/2075-4124.2014/6-1/a.39.

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Levická, Jana. "Medical model - biomedical discourse upon social work." Kontakt 14, no. 2 (June 22, 2012): 177–84. http://dx.doi.org/10.32725/kont.2012.020.

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Weedn, Victor W. "Model Medical Examiner Legislation." Academic Forensic Pathology 5, no. 4 (December 2015): 614–27. http://dx.doi.org/10.23907/2015.065.

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Roy, Brad A. "The Medical Fitness Model." ACSM's Health & Fitness Journal 11, no. 1 (January 2007): 28–30. http://dx.doi.org/10.1249/01.fit.0000257709.92115.f2.

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Fitzpatrick, Scott J., and Jo River. "Beyond the Medical Model." International Journal of Health Services 48, no. 1 (June 26, 2017): 189–203. http://dx.doi.org/10.1177/0020731417716086.

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The medical model continues to dominate research and shape policy and service responses to suicide. In this work we challenge the assumption that the medical model always provides the most effective and appropriate care for persons who are suicidal. In particular, we point to service user perspectives of health services which show that interventions are often experienced as discriminatory, culturally inappropriate, and incongruent with the needs and values of persons who are suicidal. We then examine “humanistic” approaches to care that have been proposed as a corrective to an overly medical model. We argue that the focus on improving interpersonal relations set out in humanistic approaches does not mitigate the prevailing risk management culture in contemporary suicide prevention and may impede the provision of more effective care. Finally, we draw attention to the tradition of non-medical approaches to supporting persons who are suicidal. Using Maytree (a U.K. crisis support service) as a case study, we outline some of the key features of alternative service models that we consider central to the design of more culturally appropriate and effective interventions. We conclude by making three key recommendations for improving services to persons who are suicidal.
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Dissertations / Theses on the topic "Medical model"

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Merck, Derek Pizer Stephen M. "Model guided rendering for medical images." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2964.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2010.
Title from electronic title page (viewed Jun. 23, 2010). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.
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Ye, Luming. "Perception Metrics in Medical Imaging." Thesis, KTH, Medicinsk teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102186.

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Bouma, Matthew F. "Medical evacuation and treatment capabilities optimization model." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FBouma.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2005.
Thesis Advisor(s): Moshe Kress, Matt Boensel. Includes bibliographical references (p. 95-99). Also available online.
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Kapur, Tina. "Model based three dimensional medical image segmentation." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80007.

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Ellis, Michael, Joseph Nelson, Jeffrey Kartchner, Karl Yousef, William Adamas-Rappaport, and Richard Amini. "Cadaver-based abscess model for medical training." DOVE MEDICAL PRESS LTD, 2017. http://hdl.handle.net/10150/623112.

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Ultrasound imaging is a rapid and noninvasive tool ideal for the imaging of soft tissue infections and is associated with a change of clinician management plans in 50% of cases. We developed a realistic skin abscess diagnostic and therapeutic training model using fresh frozen cadavers and common, affordable materials. Details for construction of the model and suggested variations are presented. This cadaver-based abscess model produces high-quality sonographic images with internal echogenicity similar to a true clinical abscess, and is ideal for teaching sonographic diagnostic skills in addition to the technical skills of incision and drainage or needle aspiration.
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Kunzler, Jayson S. (Jayson Scott) 1973. "Order fulfillment model for medical equipment installation materials." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/89316.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2001.
Includes bibliographical references.
by Jayson S. Kunzler.
S.M.
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Khalaf, Abdelbaset Abdelrahem. "Evidence based mathematical maintenance model for medical equipement." Versailles-St Quentin en Yvelines, 2012. http://www.theses.fr/2012VERS0036.

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Bien que la maintenance des équipements médicaux a été bien planifiée et exécutée depuis plus de 30 ans, très peu d'études ont été menées pour mesurer et évaluer son efficacité en termes de fiabilité et de disponibilité pour la prestation des services. Le débat en cours, en ingénierie clinique, est de savoir si la maintenance préventive est effectivement nécessaire et, si oui à quelle fréquence et quelles tâches doivent être effectuées. Une approche de modélisation mathématique est utilisée pour analyser la probabilité de survie de divers équipements médicaux. Cette approche permet d'explorer l'impact de la maintenance préventive, de la maintenance corrective et leur combinaison sur la disponibilité des équipements et contribuera aux discussions dans le domaine des maintenances des équipements. Les stratégies d'entretien sont analysées et un nouveau modèle de coûts associés à la maintenance a été développé. Il permet d'adopter des intervalles appropriés de maintenance préventive pour différents types d’équipements médicaux. Un modèle analytique a été développé permettant de calculer le nombre de défaillances et les coûts associés aux maintenances préventive et corrective. Un modèle d’optimisation lié à la planification de maintenance préventive en utilisant la programmation linéaire en nombres entiers ainsi qu’une méthode gloutonne ont été développés et comparés. Cette comparaison nous permet de confirmer que l’algorithme glouton fournit des résultats comparables à ceux obtenus par la programmation linéaire en nombres entiers
Although medical equipment maintenance has been well planned and executed for more than 30 years, very few studies have been conducted to measure and evaluate its effectiveness in terms of reliability and availability for service delivery. The ongoing unresolved debate in clinical engineering is whether preventive maintenance (PM) is actually necessary and, if so, how often and which tasks need to be performed. A mathematical maintenance modelling approach is used to analyse the survival probability of various medical equipment. This approach allows exploring the impact of PM, CM and combined PM/CM on the availability of equipment and will contribute to the intensified debate regarding PM. Maintenance strategies is analysed and a new failure-cost model was developed, which allows adopting appropriate PM intervals for various types of medical equipment. The analytical model to calculate the number of failures and costs associated with PM and CM is a significant contribution. The optimisation problem related to preventive maintenance scheduling using a Mixed-Integer Mathematical Programming solver was solved and compared to a proposed Greedy Algorithm. Simulation results based on the survival model show that the Greedy Algorithm gives the same solution in terms of schedule plan as the mixed integer approach
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Pathmathasan, Cynthia. "DISABILITY IN MEDICAL EDUCATION & TRAINING: A DISABILITY-FOCUSED MEDICAL CURRICULUM." NEOMED College of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ne2gs1622810204171811.

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Sandham, John Dafydd. "Achieving a model for improving medical devices management policy." Thesis, Middlesex University, 2014. http://eprints.mdx.ac.uk/19157/.

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Hospitals have always faced fundamental questions of patient safety, care, and budgetary concerns. There has been increasing recognition recently of the serious issue of medical devices management, covering the areas of procurement, training, maintenance, and governance. This issue, documented by the National Audit Office, National Patient Safety Agency, Medicines and Healthcare Products Regulatory Agency, National Health Service Litigation Authority, and World Health Organisation, impacts on healthcare costs and patient safety. It has led to new Health and Social Care Act Regulations, enforced by the Care Quality Commission. As a result of my work as a consultant in the field of medical devices management, I constructed a policy model based on my own specialist experience and knowledge. This research sought to improve that model through participatory research conducted at an NHS Hospital in London. It took the form of a case study that specifically explored the core policy areas, but this time in collaboration with participants with expertise in one or more of the four interrelated policy areas of procurement, training, maintenance, and governance. This collaboration involved researching and analysing the external demands from regulatory agencies and internal demands from the organisation, centred on procurement, budgetary, and policy issues. The action research informed changes in policy, especially around procurement, leading to improvements in practice. The challenge of keeping policy up to date, and consistent with the external regulations and internal operational demands, is discussed in the case study. The Hospital’s internal politics and culture were found to be a help when starting up the case study, but a hindrance when it came to getting agreement and approvals to change the policy content, because of multiple committees and competing interests. The overall outcome of the project was an organisationally approved best practice policy model for medical devices management within a governance framework that meets the needs of the external regulators, and the management of the organisation. More specifically it was discovered that the use, maintenance, and governance of medical equipment were all reliant on a central issue, namely procurement practice. Procurement conduct for the organisation was redefined within the Hospital policy, and is making training, maintenance, and governance easier to achieve, thereby reducing risk and cost. A major consequence is that all budget holders need to be trained in procurement itself. Moreover, it is anticipated that the model could be used at similar healthcare organisations, ultimately leading to a contribution to knowledge and practice which assists in patient safety and meeting budgets.
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Ball, Kerry Louise. "Exploring professionalism in medical educators : from model to tool." Thesis, University of Winchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503839.

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The aim of this research was to explore professionalism in medical educators, mostly from a primary care background, in a mixed method research design. Previous research on profesSionalism has focused on medical students and doctors. However medical educators are responsible for teaching professionalism to medical students. Professionalism is a complex and developed state, which must be explored in context to a specifiC role. This study was an exploratory sequential mixed method research design, with two distinct phases. The first was a qualitative phase involving exploration into the concept of professionalism within the doctors' role of a medical educator. This exploration inCluded a literature review and open-ended survey on professionalism, which led to the development of a model of professionalism for medical educators. The second phase involved the design and piloting of a tool, the Professional Reflective Enrichment Tool (PRET), that could be used to enhance professionalism in medical educators, using the model developed in phase one to structure the tool's development. The model of professionalism offered a unique insight into the medical educator's role. In this research, a resource to encourage reflection was used to enhance aspects of professionalism. Reflection was encouraged by developing a series of scenarios, based on the model, designed to pose professional dilemmas. Formative feedback was provided based on this reflection. The PRET was piloted using both assessors and users. A high multi-rater reliability was found. The pilot testing used 53 medical educators, 75% of whom were from primary care. A three-stage model of reflective thinking was developed using existing, tested models of reflection to structure formative feedback to the PRET. Qualitative data comments indicated that the PRET did promote a state of reflection and that the formative feedback was useful. This research offers a unique resource to encourage reflective thought and professional development in medical educators. By providing a structure to this thought the educator is able to apply the resource to their own practice, in personal reflection and implicit or explicit teaching methods.
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Books on the topic "Medical model"

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O'Connell, Ann. Model medical staff bylaws & rules. 6th ed. Sacramento, CA: California Healthcare Association, 2002.

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Transcription, American Association for Medical. The model curriculum for medical transcription. 3rd ed. Modesto, California: American Association for Medical Transcription, 2005.

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National Fire Service Incident Management System Consortium (U.S.). Model Procedures Committee. Model procedures guide for emergency medical incidents. [Oklahoma]: Fire Protection Publications, Oklahoma State University, 1996.

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The medical care system: A conceptual model. Ann Arbor, Mich: AUPHA Press, Health Administration Press, 1994.

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Keller, Robert B. Searching for quality in medical care: The Maine Medical Assessment Foundation model. Rockville, MD: U.S. Dept. of Health and Human Services, Agency for Healthcare Research and Quality, 2000.

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Ellenhorn, Ross D. Parasuicidality and paradox: Breaking through the medical model. New York: Springer Pub., 2008.

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Elkis-Abuhoff, Deborah, and Morgan Gaydos, eds. Art and Expressive Therapies Within the Medical Model. New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9780429400087.

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M, Neuman Betty, and Fawcett Jacqueline, eds. The Newman systems model. 4th ed. Upper Saddle River, NJ: Prentice Hall, 2002.

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Practical psychiatry: Common sense, compassion, and the medical model. Springfield, Ill., USA: C.C. Thomas, 1993.

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Haslam, Jane. Model-based methods for medical image correction and interpretation. Manchester: University of Manchester, 1996.

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Book chapters on the topic "Medical model"

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Sánchez, Orlando, and Martha Brownlee-Duffeck. "Medical Model." In Encyclopedia of Clinical Neuropsychology, 2107. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_2131.

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Swaine, Zoë. "Medical Model." In Encyclopedia of Clinical Neuropsychology, 1542–43. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_2131.

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Sánchez, Orlando, and Martha Brownlee-Duffeck. "Medical Model." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_2131-2.

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HK, Ramakrishna. "Model Example." In Medical Statistics, 167–77. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1923-4_10.

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Riener, Robert, and Matthias Harders. "Medical Model Generation." In Virtual Reality in Medicine, 225–64. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4011-5_10.

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Muazu, Muazu Hassan, and Shukurat Moronke Bello. "Business Model for Medical Entrepreneurship." In Medical Entrepreneurship, 25–38. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6696-5_3.

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Davis-Floyd, Robbie E. "The Technocratic Model of Birth." In Medical Anthropology, 277–306. London: Routledge, 2023. http://dx.doi.org/10.4324/9781315249360-22.

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Perry, Richard. "The Medical Inpatient Model." In Residential and Inpatient Treatment of Children and Adolescents, 61–79. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-0927-5_4.

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Pilecki, Brian C. "Medical Model of Psychopathology." In Encyclopedia of Personality and Individual Differences, 2834–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_911.

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Pilecki, Brian C. "Medical Model of Psychopathology." In Encyclopedia of Personality and Individual Differences, 1–8. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_911-1.

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Conference papers on the topic "Medical model"

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Johnson, Jeffrey P., Jeffrey Lubin, John S. Nafziger, Elizabeth A. Krupinski, and Hans Roehrig. "Channelized model observer using a visual discrimination model." In Medical Imaging, edited by Miguel P. Eckstein and Yulei Jiang. SPIE, 2005. http://dx.doi.org/10.1117/12.596214.

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Hansen, Mads Fogtmann, Michael Sass Hansen, and Rasmus Larsen. "Conditional statistical model building." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2008. http://dx.doi.org/10.1117/12.771079.

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Park, Sun Young, and Dustin Sargent. "Tumor propagation model using generalized hidden Markov model." In SPIE Medical Imaging, edited by Martin A. Styner and Elsa D. Angelini. SPIE, 2017. http://dx.doi.org/10.1117/12.2254583.

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Thompson, Stephen, Graeme Penney, Damien Buie, Prokar Dasgupta, and Dave Hawkes. "Use of a CT statistical deformation model for multi-modal pelvic bone segmentation." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2008. http://dx.doi.org/10.1117/12.770254.

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Ordas, Sebastian, Estanislao Oubel, Rubén Leta, Francesc Carreras, and Alejandro F. Frangi. "A statistical shape model of the heart and its application to model-based segmentation." In Medical Imaging, edited by Armando Manduca and Xiaoping P. Hu. SPIE, 2007. http://dx.doi.org/10.1117/12.708879.

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Shih, Wen-Shiang V., Wei-Chung Lin, and Chin-Tu Chen. "Contour-model-guided nonlinear deformation model for intersubject image registration." In Medical Imaging 1997, edited by Kenneth M. Hanson. SPIE, 1997. http://dx.doi.org/10.1117/12.274147.

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Levitt, Tod S., Marcus W. Hedgcock, Vera M. Shadle, Scott E. Johnston, and D. N. Vosky. "Training sample reduction through model feature selection in anatomical model development." In Medical Imaging VI, edited by R. Gilbert Jost. SPIE, 1992. http://dx.doi.org/10.1117/12.60314.

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Luo, Tao, Xuanqin Mou, Shaojie Tang, and Ying Yang. "An applicability research on JND model." In Medical Imaging, edited by Yulei Jiang and Miguel P. Eckstein. SPIE, 2006. http://dx.doi.org/10.1117/12.654244.

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Cai, Wenli, Frank Dachille, and Michael Meissner. "Centerline optimization using vessel quantification model." In Medical Imaging, edited by Amir A. Amini and Armando Manduca. SPIE, 2005. http://dx.doi.org/10.1117/12.594801.

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Pfeifer, Bernhard, Friedrich Hanser, Christoph Hintermueller, Robert Modre-Osprian, Gerald Fischer, Michael Seger, Christian Kremser, and Bernhard Tilg. "Atrial myocardium model extraction." In Medical Imaging 2004, edited by Robert L. Galloway, Jr. SPIE, 2004. http://dx.doi.org/10.1117/12.533960.

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Reports on the topic "Medical model"

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Agarwal, Nikhil. An Empirical Model of the Medical Match. Cambridge, MA: National Bureau of Economic Research, December 2014. http://dx.doi.org/10.3386/w20767.

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Van Hall, Brian M. A Proposed Conceptual Model of Military Medical Readiness. Fort Belvoir, VA: Defense Technical Information Center, May 2007. http://dx.doi.org/10.21236/ada477259.

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David, Guy, Philip Saynisch, and Aaron Smith-McLallen. The Inner Workings of the Patient Centered Medical Home Model. Cambridge, MA: National Bureau of Economic Research, July 2016. http://dx.doi.org/10.3386/w22429.

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Bruckart, James E., Martin Quattlebaum, Joseph R. Licina, and Bill Olding. Test and Evaluation Report of the Ohio Medical Transport Incubator Model Air-Vac. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada251078.

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Pruitt, Basil A., and Jr. The Integration of Clinical Care and Laboratory Research. A Model for Medical Progress. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada297092.

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Yang, Zhou, Donna Gilleskie, and Edward Norton. Prescription Drugs, Medical Care, and Health Outcomes: A Model of Elderly Health Dynamics. Cambridge, MA: National Bureau of Economic Research, December 2004. http://dx.doi.org/10.3386/w10964.

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Louise, Christa. A Bootstrapped Regression Model of Psychological Predictors of Success in Naturopathic Medical School. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6722.

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Grannan, Benjamin C., and Laura A. McLay. An Air MEDEVAC Asset Dispatching and Prioritized Casualty Transporting Model for Military Medical Evacuation Systems with Distinguishable Medical Treatment Facilities and Errors in Triage. Fort Belvoir, VA: Defense Technical Information Center, February 2014. http://dx.doi.org/10.21236/ada612690.

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Rivera, Margaret. An Empanelment Model For Use By Medical Treatment Facilities Within the Military Health Services System. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada324219.

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Wegner, Michael D. Physician Provider Profiling in Brooke Army Medical Center's Internal Medicine Clinic: A Multiple Regression and Process Control Model. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada420371.

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