Articles de revues sur le sujet « Medical knowledge engineering »

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1

Paul, Norbert. « Deep models for medical knowledge engineering ». Artificial Intelligence in Medicine 5, no 6 (décembre 1993) : 525–26. http://dx.doi.org/10.1016/0933-3657(93)90042-2.

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Lucas, Peter J. F. « Logic engineering in medicine ». Knowledge Engineering Review 10, no 2 (juin 1995) : 153–79. http://dx.doi.org/10.1017/s0269888900008134.

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AbstractThe safety-critical nature of the application of knowledge-based systems to the field of medicine requires the adoption of reliable engineering principles with a solid foundation for their construction. Logical languages with their inherent, precise notions of consistency, soundness and completeness provide such a foundation, thus promoting scrupulous engineering of medical knowledge. Moreover, logic techniques provide a powerful means for getting insight into the structure and meaning of medical knowledge used in medical problem solving. Unfortunately, logic is currently only used on a small scale for building practical medical knowledge-based systems. In this paper, the various approaches proposed in the literature are reviewed, and related to the various types of knowledge and problem solving employed in the medical field. The appropriateness of logic for building medical knowledge-based expert systems is further motivated.
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KUSHNIRUK, A., V. PATEL et A. MARLEY. « Small worlds and medical expertise : implications for medical cognition and knowledge engineering ». International Journal of Medical Informatics 49, no 3 (mai 1998) : 255–71. http://dx.doi.org/10.1016/s1386-5056(98)00044-6.

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Walczak, Steven. « Managing personal medical knowledge : agent-based knowledge acquisition ». International Journal of Technology Management 47, no 1/2/3 (2009) : 22. http://dx.doi.org/10.1504/ijtm.2009.024112.

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Ficoń, Krzysztof, Wojciech Sokołowski et Marcin Zięcina. « Systems engineering – synergy of science, knowledge and applied technology ». Scientific Journal of the Military University of Land Forces 206, no 4 (15 décembre 2022) : 540–59. http://dx.doi.org/10.5604/01.3001.0016.1763.

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The following paper presents the theoretical foundations and selected practical applications of systems engineering. To begin with, the concept and subject of systems engineering is defined and embedded in the family of systems sciences. It also outlines the systems approach methodology applied in the systems engineering and the strong interdependencies that exist between systems theory and the practice of building systems applications. The matter of presenting selected categories of systems engineering, such as requirements engineering, environmental engineering, safety engineering, medical engineering, genetic engineering, management engineering, financial engineering, software engineering and social engineering was pivotal element of the paper. The paper has a form of a synthesis and an overview and contributes to further discussions within the framework of promoting a universal systems approach in the praxeological disciplines of the different categories of technical and non-technical, tangible and intangible, but always innovative and creative engineering.
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Fujikake, Mariko, Hideki Fujita et Satoki P. Ninomija. « A method linking statistics and knowledge engineering for making medical consulting systems ». Journal of Medical Systems 10, no 3 (juin 1986) : 289–305. http://dx.doi.org/10.1007/bf00992824.

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Noor, Ahmed. « Re-Engineering Healthcare ». Mechanical Engineering 129, no 11 (1 novembre 2007) : 22–27. http://dx.doi.org/10.1115/1.2007-nov-1.

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This article reviews a system that is in need of repair in the United States, and engineers are uniquely equipped to help fix it. Although the expenditure per capita on healthcare in the United States is higher than in any other country, the current US healthcare system cannot be sustained, and major improvements are needed. Lives unnecessarily lost each year in the United States due to medical errors are estimated to be as high as 98,000 and injuries over a million. The healthcare system is currently facing many problems and challenges, including rapid changes in medical technology and practice, severe shortages in skilled healthcare workers, and an aging population with increased incidence of disease and disability. The cyber infrastructure will facilitate technology-based, distributed delivery of health services, as well as training and lifelong learning for healthcare workers. It can evolve into an electronic care continuum with pervasive access to global, accurate, and timely medical knowledge for individuals about their health needs in an era of rapid change and expanding knowledge.
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Wigertz, O., J. Persson et H. Ahlfeldt. « Teaching Medical Informatics to Biomedical Engineering Students : Experiences over 15 Years ». Methods of Information in Medicine 28, no 04 (octobre 1989) : 309–12. http://dx.doi.org/10.1055/s-0038-1636807.

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Abstract:The Departments of Biomedical Engineering and Medical Informatics at Linkoping University in Sweden were established in 1972-1973. The main purpose was to develop and offer courses in medicine, biomedical engineering and medical informatics to students in electrical engineering and computer science, for a specialization in biomedical engineering and medical informatics. The courses total about 400 hours of scheduled study in the subjects of basic cell biology, basic medicine (terminology, anatomy, physiology), biomedical engineering and medical informatics. Laboratory applications of medical computing are mainly taught in biomedical engineering courses, whereas clinical information systems, knowledge based decision support and computer science aspects are included within the medical informatics courses.
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Kaur, Aankita, et Mansaf Alam. « Role of Knowledge Engineering in the Development of a Hybrid Knowledge Based Medical Information System for Atrial Fibrillation ». American Journal of Industrial and Business Management 03, no 01 (2013) : 36–41. http://dx.doi.org/10.4236/ajibm.2013.31005.

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Cheng, Binjie, Jin Zhang, Hong Liu, Meiling Cai et Ying Wang. « Research on Medical Knowledge Graph for Stroke ». Journal of Healthcare Engineering 2021 (24 mars 2021) : 1–10. http://dx.doi.org/10.1155/2021/5531327.

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Knowledge graph can effectively analyze and construct the essential characteristics of data. At present, scholars have proposed many knowledge graph models from different perspectives, especially in the medical field, but there are still relatively few studies on stroke diseases using medical knowledge graphs. Therefore, this paper will build a medical knowledge graph model for stroke. Firstly, a stroke disease dictionary and an ontology database are built through the international standard medical term sets and semiautomatic extraction-based crowdsourcing website data. Secondly, the external data are linked to the nodes of the existing knowledge graph via the entity similarity measures and the knowledge representation is performed by the knowledge graph embedded model. Thirdly, the structure of the established knowledge graph is modified continuously through iterative updating. Finally, in the experimental part, the proposed stroke medical knowledge graph is applied to the real stroke data and the performance of the proposed knowledge graph approach on the series of Trans ∗ models is compared.
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Juarez, Jose M., Tamara Riestra, Manuel Campos, Antonio Morales, Jose Palma et Roque Marin. « Medical knowledge management for specific hospital departments ». Expert Systems with Applications 36, no 10 (décembre 2009) : 12214–24. http://dx.doi.org/10.1016/j.eswa.2009.04.064.

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Shortliffe, E. H., et S. Tsuji. « Graphical Access to Medical Expert Systems : I. Design of a Knowledge Engineer’s Interface ». Methods of Information in Medicine 25, no 02 (avril 1986) : 62–70. http://dx.doi.org/10.1055/s-0038-1635457.

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SummaryOptimal construction of medical expert systems demands a powerful interactive environment for knowledge base management by knowledge engineers. Key requirements include techniques for (a) examining existing information, (b) adding new knowledge and editing preexisting data structures, and (c) examining dynamic internal system behavior to facilitate debugging during consideration of actual cases. This article addresses design considerations in the development of such knowledge engineering tools. The emphasis is on the use of professional workstations with high density graphics interfaces since that technology is rapidly becoming a predominant environment for knowledge engineering activities. To illustrate the points made, examples are drawn from an experimental knowledge base management tool designed for knowledge engineers constructing the knowledge base of ONCOCIN, an expert system to advise in the management of cancer patients.
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Tsuji, S., et E. H. Shortliffe. « Graphical Access to Medical Expert Systems : I. Design of a Knowledge Engineer’s Interface ». Methods of Information in Medicine 25, no 02 (avril 1986) : 62–70. http://dx.doi.org/10.1055/s-0038-1636678.

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SummaryOptimal construction of medical expert systems demands a powerful interactive environment for knowledge base management by knowledge engineers. Key requirements include techniques for (a) examining existing information, (b) adding new knowledge and editing preexisting data structures, and (c) examining dynamic internal system behavior to facilitate debugging during consideration of actual cases. This article addresses design considerations in the development of such knowledge engineering tools. The emphasis is on the use of professional workstations with high density graphics interfaces since that technology is rapidly becoming a predominant environment for knowledge engineering activities. To illustrate the points made, examples are drawn from an experimental knowledge base management tool designed for knowledge engineers constructing the knowledge base of ONCOCIN, an expert system to advise in the management of cancer patients.
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Xu, Wansong. « Research on hybrid teaching of Medical Electronics ». Advances in Education, Humanities and Social Science Research 1, no 1 (9 mai 2022) : 41. http://dx.doi.org/10.56028/aehssr.1.1.41.

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Medical electronics is a basic course for the combination of medicine and engineering. The course features a wide range of knowledge but not deep, focusing on the basic theories concepts and methods. However, due to the wide range of knowledge, shallow student foundation and short course hours, the teaching effect of this course is not satisfactory. With the development of modern educational technology, we introduce a new educational model of online and offline mixed teaching, which integrates the advantages of online education with the advantages of traditional classroom teaching, improves students' autonomous learning ability and cultivates innovation ability from three links: before class, in class and after class. Teaching practice has proved that the hybrid teaching mode can fully explore the convenience of online teaching at the forefront of disciplines, make use of the efficiency of offline classroom teaching knowledge, complete discipline intersection and promote medical engineering integration, so as to improve teaching quality and talent training quality
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Man Leung Wong, Wai Lam, Kwong Sak Leung, Po Shun Ngan et J. C. Y. Cheng. « Discovering knowledge from medical databases using evolutionory algorithms ». IEEE Engineering in Medicine and Biology Magazine 19, no 4 (2000) : 45–55. http://dx.doi.org/10.1109/51.853481.

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Evans, James P. « Comment : Mind the gap : Genetic knowledge and medical power ». Science News 179, no 10 (25 avril 2011) : 36. http://dx.doi.org/10.1002/scin.5591791026.

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V, Lavanya, Kiranmai Vadapalli, P. S Krishnamurthy, Sobha Kumari T et Rajagopal Asari K. « Comparison of knowledge, attitude about organ donation among first year medical and engineering students ». Indian Journal of Clinical Anatomy and Physiology 6, no 4 (15 décembre 2019) : 408–14. http://dx.doi.org/10.18231/j.ijcap.2019.089.

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Razooqi, Dr Manwar Makki, Dr Lamyaa Ali Hasan et Ashwaq Ridha Abdulsada. « Knowledge of Undergraduate Medical Students of College of Medicine/ University of Baghdad Regarding Medical Ethics 2021 ». Journal of University of Shanghai for Science and Technology 23, no 11 (22 novembre 2021) : 590–602. http://dx.doi.org/10.51201/jusst/21/11945.

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Background: It is important to prepare the future doctors who are ethically competent to avoid medico legal issues in practice. Subjects and methods: A cross sectional study was conducted on 373 students from (15 January -15 April 2021) in Baghdad college of medicine where students in different stages from (1st to 6th Stage) were asked to fulfil a pretested questionnaire which was distributed through internet and social media groups, it includes socio demographic variables of studied students in addition questions about knowledge of medical ethics , and data was introduced into spss v.23 statistical software. Results: shows that college curriculum was the source of information for 51.7% of the students, internet was the source in 38.1% and there was significant association between level of ethical knowledge and gender, in favor of female were (59.4%) have good knowledge ,while (43.7%) for the male studied students. All the students have either good or fair knowledge in general and there was significant association between stage of students and level of ethical knowledge which was (83.8%) good for the sixth stage students and significantly more than other stages (75.6%), (73.2%), (63.3%), (48.7%) and (23.8%) for the fifth, fourth ,third, second and first year students respectively , p value =0.001.There was no significant association between gender and autonomy ,justice and dignity ,beneficence ,non-maleficence and veracity knowledge level P value = (0.303),(0.064),(0.462),(0.114),(0.054) respectively. Conclusion: There is a good to fair knowledge in all stages regarding the medical ethics principles.
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Niu, Wenjing, Jinyan Huang, Zhao Xing et Jianbin Chen. « Knowledge Spillovers of Medical Big Data Under Hierarchical Medical System and Patients’ Medical Treatment Decisions ». IEEE Access 7 (2019) : 55770–79. http://dx.doi.org/10.1109/access.2019.2908440.

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SESUGH, UTIM SAMUEL. « KNOWLEDGE AND EXPERIENCE OF GENDER-BASED DISCRIMINATION AMONG MEDICAL DOCTORS AND MEDICAL STUDENTS IN NIGERIA ». International Journal of Health Sciences 5, no 2 (3 août 2022) : 45–66. http://dx.doi.org/10.47941/ijhs.975.

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Purpose: Discrimination in healthcare setting is worldwide, and it takes many forms which can violate the most fundamental human rights protected in international treaties, and in national laws and constitutions. Experts have argued for more research and sex-disaggregated data in order to strengthen the understanding of gender as it affects health workers, especially in developing countries. The general aim of this research is directed at determining the level of knowledge and experiences of gender-based discrimination and describe their correlates among doctors and medical students in Nigeria. This research is undertaken to x-ray the challenges faced by medical students, and doctors within the health system by virtue of their gender in order to drive focused discussions, and actions towards a lasting solution. Methodology: A Cross- sectional descriptive study design was used on a study population of 353 respondents comprising medical students and doctors from universities and their teaching hospitals in the six (6) geopolitical zones across Nigeria and participating schools were selected through multi-stage random sampling. A self-administered questionnaire was employed to gather information and data was analyzed using descriptive statistics and Chi-square test. Results: It was observed that the highest number of respondents were in the south-south zone (30.7%), with most being females (55.8%). Majority of respondents were between the ages of 21-25 years (42%). High knowledge (96.8%) about gender-based discrimination was demonstrated by respondents and most cases of gender-based discrimination were observed among females (59.2%), with 67.4% of respondents experiencing gender-based discrimination in one form or the other. Males were found to constitute majority of perpetrators (54%) and 91% of victims did not report the incident. The result further showed statistically significant association between personal experience of gender-based discrimination and gender of respondents (p<0.05). Respondents demonstrated good knowledge of gender-based discrimination. It further revealed that gender-based discrimination exist with a prevalence of 67.4%, with differences occurring in the personal experiences of gender-based discrimination by occupation and sex. However, majority of cases were not reported. Unique Contribution to Theory, Policy and Practices: Organizing regular seminars to educate medical students and doctors about practices considered to be gender-based discrimination, and developing strict policies against gender-based discrimination in our training institutions (Medical schools/Teaching hospitals).
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Serra, Angelo. « Medical genetic engineering and the Catholic Church's teaching ». Medicina e Morale 44, no 2 (30 avril 1995) : 259–84. http://dx.doi.org/10.4081/mem.1995.986.

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The main steps taken and the goals reached in the field of Human and Medicai genetics, the expected knowledge from the rapidly evolving Human Genome Project, and the new important medicai applications are briefly outlined. Then, the view of the Catholic Church on three controversial ethical problems arising from these new developments is proposed. As to the first problem, concerning the research on early human embryos, it seems clear that- whichever their origin and the type of experimentation- they are considered and treated, contrary to any other experimentation on humans, as pure producible and/or disposable objects, thus violating their human dignity and rights. As to the second problem, conceming the use of preimplantation and prenatal diagnosis with the aim to discover and abort embryos and fetuses who are or shall be affected by some serious disease, beside the patent eugenistic perspective one must recognize that they are innocent human beings who have an absolute right to life. As to the third problem, concerning the epidemiologic genetic surveillance, although this could afford a possible and plausible way of preventing the risk of affected conceptuses, it has already opened the door to a number of abuses against justice an d equity.
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Rehman, Anam, Ujala Shujat, Nuha Mahmood, Hafsa Naseem, Maryam Siddiqui, Sohaima Samad, Amim-ul-Haq et Aatra Mahfooz. « BLS Knowledge : A comparison between clinical and basic medical professionals ». South Florida Journal of Development 2, no 5 (16 novembre 2021) : 7468–80. http://dx.doi.org/10.46932/sfjdv2n5-084.

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Introduction Cardiopulmonary resuscitation (CPR) is performed on sudden cardiac arrest patients. There is significant morbidity and mortality due to SCA and choking. This high incidence raises a question regarding knowledge of BLS in health care professionals. Therefore, we will be assessing knowledge of BLS among clinical and basic medical health care professionals. Methodology A cross-sectional study was conducted on the Medical professionals of Jinnah Sindh Medical University (JSMU) and Jinnah Postgraduate Medical Centre (JPMC) to assess their knowledge of BLS, within a period of 10 months. Data was collected from 94 participants using a pretested questionnaire through convenient sampling technique. Adequate knowledge was assessed and compared between medical professionals of JSMU and JPMC. P-value was taken significant if it were <0.05 after applying chi-square test. Result The mean age of participants was 33.0 ± 8.66 years. 48% candidates were related to Academics Faculty whereas 52% were Clinical Faculty. Overall 60 (63.8%) responders had “Adequate Knowledge”. Out of those, 23 (38.3%) were from JSMU and 37 (61.6%) were from JPMC. There was a significant difference of knowledge of BLS among the institutes (p-value= 0.003). There was also significant difference of adequate knowledge of participants of JSMU who have had previous BLS training and those who haven’t (p value =0.05). Conclusion BLS knowledge of medical professionals should be frequently revised and updated because they should be competent enough to handle any emergency situation, be it in a hospital or outside of it. Furthermore, this updated knowledge will have a positive effect on their students.
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Bravo, Maricela, Darinel González-Villarreal, José A. Reyes-Ortiz et Leonardo D. Sánchez-Martínez. « Modularization Method to Reuse Medical Knowledge Graphs ». Applied Sciences 12, no 22 (21 novembre 2022) : 11816. http://dx.doi.org/10.3390/app122211816.

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During the creation and integration of a health care system based on medical knowledge graphs, it is necessary to review and select the vocabularies and definitions that best fit the information requirements of the system being developed. This implies the reuse of medical knowledge graphs; however, full importation of knowledge graphs is not a tractable solution in terms of memory requirements. In this paper, we present a modularization-based method for knowledge graph reuse. A case study of graph reuse is presented by transforming the original model into a lighter one.
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Lin, Chinho, et Shofang Chang. « A relational model of medical knowledge sharing and medical decision-making quality ». International Journal of Technology Management 43, no 4 (2008) : 320. http://dx.doi.org/10.1504/ijtm.2008.020554.

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Samal, Janmejaya, Shuchi Soni, SumitSingh Baghel, Shailja Vaghela et ManishSingh Chundawat. « Knowledge and attitude toward organ donation among medical and nonmedical (Engineering) students in Bhopal, India ». Saudi Journal of Forensic Medicine and Sciences 1, no 2 (2018) : 35. http://dx.doi.org/10.4103/sjfms.sjfms_10_18.

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Dabadi, Sambardhan, et Raju Raj Dhungel. « Biomedical Engineering in Nepal : Opportunities and Challenges ». Annapurna Journal of Health Sciences 1, no 1 (10 février 2021) : 52–54. http://dx.doi.org/10.52910/ajhs.18.

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Biomedical engineering is the blend of engineering and medical science, professional with a combination of knowledge of various engineering discipline to improve health care and quality of life. While biomedical engineering formally came up as major course in 1950s, the course started in Nepal just a decade back with its importance being acknowledged and biomedical engineers have been recruited by various institutes. Accounting for artificial intelligence, robotic surgery, 3-d printing, which are believed to be the future of medical science, it is necessary to strengthen the biomedical engineering. This article aims to highlight the overview as well as opportunities and challenges of biomedical engineering in Nepal.
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Brigl, B. « Section 5 : Decision Support, Knowledge Representation and Management : Decision support, Knowledge Representation and Management : A broad methodological spectrum ». Yearbook of Medical Informatics 15, no 01 (août 2006) : 81–83. http://dx.doi.org/10.1055/s-0038-1638472.

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SummaryTo summarize current excellent research in the field of decision support, knowledge management and representation.Synopsis of the articles selected for the IMIA Yearbook 2006.Decision Support, Knowledge Representation and Management covers a broad spectrum of methods applied to a variety of medical problems and domains. Some particularly interesting and current topics were picked for the IMIA Yearbook 2006: the importance of ontologies for systematic system engineering of decision support systems, syndromic surveillance based on natural language processing, the evaluation of large semantic networks, and a comprehensive ontology for a randomised controlled trial database to support evidence-based practise.The best paper selection shows that methods for decision support, knowledge representation and management can decisively contribute to the solution of many different medical problems, but also that there is still a lot of exiting research to be done
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Lin, Zhihuang, Dan Yang et Xiaochun Yin. « Patient Similarity via Joint Embeddings of Medical Knowledge Graph and Medical Entity Descriptions ». IEEE Access 8 (2020) : 156663–76. http://dx.doi.org/10.1109/access.2020.3019577.

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Dohare, Pradeep. « Study to Assess the Knowledge, Attitude and Practices of Blood Donation among Students of Gandhi Medical College and TIT Engineering College, Bhopal, Madhya Pradesh, India ». Epidemiology International 03, no 03 (17 novembre 2018) : 28–31. http://dx.doi.org/10.24321/2455.7048.201815.

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Doshi, Dolar, Pavan Baldava, Nagaraj Anup et Peter S. Sequeira. « A Comparative Evaluation of Self-Reported Oral Hygiene Practices Among Medical and Engineering University Students with Access to Health-promotive Dental Care ». Journal of Contemporary Dental Practice 8, no 1 (janvier 2007) : 68–75. http://dx.doi.org/10.5005/jcdp-8-1-68.

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Abstract Aim This study was conducted to test the null hypothesis that no difference exists in the oral hygiene knowledge and practices of university students in different courses when they have equal opportunity to access health-promotive dental care. Methods and Materials The study was conducted using 120 students each from the medical and engineering colleges at the University of Manipal Academy of Higher Education who had easy access to the dental college within the campus which provides health-promotive dental care to all its patients. A self-administered structured questionnaire consisting of questions on demographic data, oral hygiene knowledge and practices, and dental service utilization patterns was distributed among the students. The data collected was analyzed using SPSS 10 version. Results Statistically significant differences were found between the two groups with respect to the knowledge of fluoridated toothpastes, frequency of toothbrush renewal, use of dental floss, and a tongue cleaner (p<0.001). The groups were similar in all other practices including the utilization of dental services. There were no significant differences between the self-reported oral hygiene knowledge and practices among medical and engineering university students, but the knowledge levels of the students were considerably lower than expected. Citation Doshi D, Baldava P, Anup N, Sequiera PS. A Comparative Evaluation of Self-Reported Oral Hygiene Practices Among Medical and Engineering University Students with Access to Health-promotive Dental Care. J Contemp Dent Pract 2007 January;(8)1:068-075.
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Torralba-Rodrı́guez, Francisco Jesús, Jesualdo Tomás Fernández-Breis, Rafael Valencia Garcı́a, Juana Marı́a Ruı́z-Sánchez, Rodrigo Martı́nez-Béjar et Juan Antonio Gómez-Rubı́. « An ontological framework for representing and exploiting medical knowledge ». Expert Systems with Applications 25, no 2 (août 2003) : 211–30. http://dx.doi.org/10.1016/s0957-4174(03)00048-4.

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Valencia-Garcı́a, Rafael, Juana Marı́a Ruiz-Sánchez, Pedro José Vivancos-Vicente, Jesualdo Tomás Fernández-Breis et Rodrigo Martı́nez-Béjar. « An incremental approach for discovering medical knowledge from texts ». Expert Systems with Applications 26, no 3 (avril 2004) : 291–99. http://dx.doi.org/10.1016/j.eswa.2003.09.001.

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Segev, Aviv, Moshe Leshno et Moshe Zviran. « Internet as a knowledge base for medical diagnostic assistance ». Expert Systems with Applications 33, no 1 (juillet 2007) : 251–55. http://dx.doi.org/10.1016/j.eswa.2006.04.013.

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Koshy, George, Vandana Gangadharan et Anullekha Naidu. « A study to assess the knowledge and attitude of female graduate students on cervical cancer ». International Journal of Research in Medical Sciences 5, no 10 (28 septembre 2017) : 4545. http://dx.doi.org/10.18203/2320-6012.ijrms20174593.

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Background: Cervical cancer is one of the most common cancers in women with an average of 468,000 new cases per year. Out of these 80% occur in developing and underdeveloped countries. World Health Organisation statistics show that Indian carries one fifths of world burden of the disease with 72,600 deaths annually. Key to the success of cervical cancer screening and prevention is the knowledge and awareness possessed by women in general. This requires the honing of knowledge at an impressionable and younger age group.Methods: It is a questionnaire based cross sectional study and was conducted amongst 4 study groups comprising Medical students, engineering students, nursing students and general graduate students between the age group 18 and 25 years.Results: According to present study, 93% of medical, 75% of nursing and only 29% of engineering students and 9 % of other students were actually even aware of the term cervical cancer. Assessment of knowledge regarding the risk factors of cervical cancer revealed that 13 medical, 9 nursing, 75 of engineering and 85 of Other Graduates weren’t aware of any risk factor that causes cervical cancer. As regards to attitude of the students towards cancer, present study revealed 4 medical, 23 nursing, 10 engineering and 9 general public women think that it is incurable and leads to death.Conclusions: This study highlights unawareness of various aspects of cervical cancer among young women and the burning need for continuing educational intervention at institute level to emphasise the importance and increase the awareness regarding cervical cancer.
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Surendro, Kridanto, Dicky Prima Satya et Farrell Yodihartomo. « Integrated Social Media Knowledge Capture in Medical Domain of Indonesia ». TELKOMNIKA (Telecommunication Computing Electronics and Control) 16, no 4 (1 août 2018) : 1846. http://dx.doi.org/10.12928/telkomnika.v16i4.8320.

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Cios, K. J. « From the guest editor medical data mining and knowledge discovery ». IEEE Engineering in Medicine and Biology Magazine 19, no 4 (juillet 2000) : 15–16. http://dx.doi.org/10.1109/memb.2000.853477.

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Li, Daifeng, Andrew Madden, Chaochun Liu, Ying Ding, Liwei Qian et Enguo Zhou. « Modelling online user behavior for medical knowledge learning ». Industrial Management & ; Data Systems 118, no 4 (14 mai 2018) : 889–911. http://dx.doi.org/10.1108/imds-07-2017-0309.

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Purpose Internet technology allows millions of people to find high quality medical resources online, with the result that personal healthcare and medical services have become one of the fastest growing markets in China. Data relating to healthcare search behavior may provide insights that could lead to better provision of healthcare services. However, discrepancies often arise between terminologies derived from professional medical domain knowledge and the more colloquial terms that users adopt when searching for information about ailments. This can make it difficult to match healthcare queries with doctors’ keywords in online medical searches. The paper aims to discuss these issues. Design/methodology/approach To help address this problem, the authors propose a transfer learning using latent factor graph (TLLFG), which can learn the descriptions of ailments used in internet searches and match them to the most appropriate formal medical keywords. Findings Experiments show that the TLLFG outperforms competing algorithms in incorporating both medical domain knowledge and patient-doctor Q&A data from online services into a unified latent layer capable of bridging the gap between lay enquiries and professionally expressed information sources, and make more accurate analysis of online users’ symptom descriptions. The authors conclude with a brief discussion of some of the ways in which the model may support online applications and connect offline medical services. Practical implications The authors used an online medical searching application to verify the proposed model. The model can bridge users’ long-tailed description with doctors’ formal medical keywords. Online experiments show that TLLFG can significantly improve the searching experience of both users and medical service providers compared with traditional machine learning methods. The research provides a helpful example of the use of domain knowledge to optimize searching or recommendation experiences. Originality/value The authors use transfer learning to map online users’ long-tail queries onto medical domain knowledge, significantly improving the relevance of queries and keywords in a search system reliant on sponsored links.
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Humphrey, Susanne M., et Nancy E. Miller. « Knowledge-based indexing of the medical literature : The Indexing Aid Project ». Journal of the American Society for Information Science 38, no 3 (mai 1987) : 184–96. http://dx.doi.org/10.1002/(sici)1097-4571(198705)38:3<184 ::aid-asi7>3.0.co;2-f.

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Smith‐Guerin, Natalie, Laurence Nouaille, Pierre Vieyres et Gerard Poisson. « A medical robot kinematics design approach based on knowledge management ». Industrial Robot : An International Journal 35, no 4 (20 juin 2008) : 316–23. http://dx.doi.org/10.1108/01439910810876418.

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Frosolini, Andrea. « Music Perception and Rehabilitation in Deaf Patients : Present Knowledge and Future Directions ». Psychology & ; Psychological Research International Journal 7, no 4 (2022) : 1–2. http://dx.doi.org/10.23880/pprij-16000316.

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Cochlear implants are globally considered the standard medical treatment for severe and profound sensorineural hearing loss, both in children and adults, who have not obtained a concrete benefit from hearing aids [1].
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Shahid, Mahnoor, Wajih Malik, Marij Hameed, Usman Rashid, Sarmad Saif et Nauman Rauf Khan. « Assessment of Knowledge, Practices and Self-Reported Problems Related to Halitosis among the Students of Sharif Medical and Dental College and Bakhtawar Amin Medical and Dental College ». Pakistan Journal of Medical and Health Sciences 16, no 4 (20 juin 2022) : 1113–16. http://dx.doi.org/10.53350/pjmhs221641113.

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Introduction: Halitosis is the source of nuisance and can affect person’s own health. This can also create social issues and may decrease self-confidence. The main cause of large number of populations effected by this condition is lack of awareness, knowledge or non-accessibility to health care facility. Objectives: The aim of this study is to access the knowledge, practices and self-reported problems of halitosis among the students of Sharif Medical & Dental College, Sharif College of Engineering and Technology and Bakhtawar Amin Medical and Dental College Multan. Duration of Study: This cross-sectional study was conducted among students of Sharif Medical & Dental College Sharif College of Engineering and Technology and Bakhtawar Amin Medical and Dental College Multan from 1st July 2019 to 01st January 2022. Material and Methods: The data was collected using a questionnaire consisting of 13 questions includes three components i.e. knowledge, practices and self- reported problems. Practice and self -reported problems were assessed using special scoring system. Results: 500 students participated in the research program. Among all students, 69.8% had knowledge about halitosis. Responses to self-reported problems showed 7.2% of the participants suffered from halitosis. 29.8% and 30.4% reported dental caries and bleeding gums respectively. 25.6% mentioned about the dryness of mouth. 49.4% were concerned about social impact of their bad breath. Conclusion: Increasing awareness, knowledge about the cause and treatment options of this condition can improve the general health and well-being.
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Walton, Joan, M. A. Musen, D. M. Combs, C. D. Lane, E. H. Shortliffe et L. M. Fagan. « Graphical Access to Medical Expert Systems : III. Design of a Knowledge Acquisition Environment*) ». Methods of Information in Medicine 26, no 03 (juillet 1987) : 78–88. http://dx.doi.org/10.1055/s-0038-1635497.

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SummaryKnowledge acquisition for expert systems typically is a tedious, iterative process involving long hours of consultation between the domain experts and the computer scientists who serve as knowledge engineers. For well-understood domains, however, it may be possible to facilitate the knowledge acquisition process by allowing domain experts to develop and edit a knowledge base directly. Administration of protocol-directed cancer chemotherapy is such a well-understood application area, and a knowledge acquisition system, called OPAL, has been developed for eliciting chemotherapy-protocol knowledge directly from expert oncologists. OPAL’s knowledge acquisition approach is based on the interactive graphics environment available on current generation workstations. The use of graphics improves the interface by reducing typing, avoiding natural language interpretations, and allowing flexibility in entry sequence. The knowledge in OPAL is displayed using an arrangement of hierarchically related, graphical forms. The position of a particular form in the hierarchy defines the context of the knowledge contained in the form. Intelligent editing programs such as OPAL can streamline the knowledge engineering process for highly structured domains requiring repetitive knowledge entry.
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Manhas, Angli, Rameshwar S. Manhas, Gaurav S. Manhas, Dinesh Gupta et Dinesh Kumar. « Comparison of level of awareness regarding eye donation among medical, engineering and law students in Jammu, India ». International Journal of Research in Medical Sciences 6, no 11 (25 octobre 2018) : 3663. http://dx.doi.org/10.18203/2320-6012.ijrms20184426.

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Background: Blindness due to cornea is a major public health issue, especially in developing countries like India. Corneal transplantation is the treatment for restoring vision in corneal blind patients. The aim of present study was to compare the level of awareness regarding eye donation among medical, engineering and law students.Methods: The present cross sectional, comparative study involved students following their respective courses (1st final year) from October 2017 to December 2017. Out of 168 students, 60 were medical, 56 were engineering and 52 were law students. The study started with initial clarification of questions and those who were willing to participate, were requested to fill the semi-structure pilot tested questionnaire form on eye donation with informed consent.Results: All the students were aware of eye donation, but medical students were much aware on various parameters. The most powerful information tool to reach out all the students was television whereas among medical ophthalmology is one of subject they study in their respective course which provide them maximum knowledge regarding eye donation.Conclusions: Level of awareness and knowledge regarding eye donation is much better among medical students (MBBS) in comparison with engineering and law students. Thus, professionals (medical doctors, engineers and lawyers) should be actively involved in creating awareness regarding eye donation and hence play vital role to reach out people for optimum benefit.
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Hedges, Kristin, et Gideon Lasco. « Medical Populism and COVID-19 Testing ». Open Anthropological Research 1, no 1 (1 janvier 2021) : 73–86. http://dx.doi.org/10.1515/opan-2020-0109.

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Abstract This paper uses the lens of medical populism to analyze the impact of biocommunicability on COVID-19 testing through a case study approach. The political efficacy of testing is traced through two mini-case studies: the Philippines and the United States. The case studies follow the approach of populism scholars in drawing from various sources that ‘render the populist style visible’ from the tweets and press releases of government officials to media reportage. Using the framework of medical populism, the case studies pay attention to the ways in which coronavirus testing figured in (1) simplification of the pandemic; (2) spectacularization of the crisis; (3) forging of divisions; and (4) invocation of knowledge claims. Identifying and critically analyzing how knowledge is generated is an essential step to recognizing the impact that political styles have on the COVID pandemic. The political actors in each case study have shaped knowledge of the epidemic, in the way they construct the idea of ‘testing’, and in how they mobilize testing as an ‘evidence-making practice’. Their actions shaped how the pandemic—as well as their responses—is measured. This framework contributes to public policy debates by providing evidence of the impact of medical populism on pandemic response efforts.
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Chen, Ruth Yun-Ju. « The Quest for Efficiency : Knowledge Management in Medical Formularies ». Harvard Journal of Asiatic Studies 80, no 2 (2020) : 347–80. http://dx.doi.org/10.1353/jas.2020.0027.

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Shi, Binbin, Lijuan Zhang, Jie Huang, Huilin Zheng, Jian Wan et Lei Zhang. « MDA : An Intelligent Medical Data Augmentation Scheme Based on Medical Knowledge Graph for Chinese Medical Tasks ». Applied Sciences 12, no 20 (21 octobre 2022) : 10655. http://dx.doi.org/10.3390/app122010655.

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Text data augmentation is essential in the field of medicine for the tasks of natural language processing (NLP). However, most of the traditional text data augmentation focuses on the English datasets, and there is little research on the Chinese datasets to augment Chinese sentences. Nevertheless, the traditional text data augmentation ignores the semantics between words in sentences, besides, it has limitations in alleviating the problem of the diversity of augmented sentences. In this paper, a novel medical data augmentation (MDA) is proposed for NLP tasks, which combines the medical knowledge graph with text data augmentation to generate augmented data. Experiments on the named entity recognition task and relational classification task demonstrate that the MDA can significantly enhance the efficiency of the deep learning models compared to cases without augmentation.
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Saripalle, Rishi Kanth. « UMLS Semantic Network as a UML Metamodel for Improving Biomedical Ontology and Application Modeling ». International Journal of Healthcare Information Systems and Informatics 10, no 2 (avril 2015) : 34–56. http://dx.doi.org/10.4018/ijhisi.2015040103.

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In the domain of biomedical and health informatics, ontologies are widely used to capture knowledge ranging from bioinformatics such as gene, protein, protein interactions, etc. to clinical/healthcare informatics knowledge such as diseases, symptoms, treatment, medication, etc. Currently, one medical knowledge source that encapsulates a broad spectrum of medical knowledge is the Unified Medical Language System (UMLS), which can be defined as a compendium of diverse medical ontological standards. The primary components of the UMLS are: Semantic Network (UMLS-SN) – designed by interconnecting well-defined semantic types with semantic relationships, and Metathesaurus (UMLS-META) – the base of UMLS system that is comprised of millions of medical concepts from diverse medical standards. However, within the biomedical and health informatics community, the concepts of software engineering and domain modeling (using meta-models such as ERD, UML, and XML) are very successful in designing and implementing biomedical/health domain application models. In the current status, the UMLS-SN is primarily employed for classification of medical concepts in UMLS-META, but UMLS-SN knowledge can't be viewed or employed as a modeling framework for designing ontological models and is restricted to the UMLS environment. Thus, the impact of the biomedical semantics captured by UMLS-SN might be minimal in medical facilities, research and healthcare organizations that are highly influenced by software engineering, meta-models and domain model-based practices. In order fill this gap, the authors propose a meta-modeling framework for UMLS-SN based on the UML Profile (built using UML meta-model) that will result in a customized domain specific meta-model. This specialized meta-model that encapsulates the medical knowledge semantics of UMLS-SN can then be employed for designing ontological models or relevant healthcare application models and simultaneously be coherent with software meta-models and domain modeling practices.
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Witherell, Paul, Sundar Krishnamurty, Ian R. Grosse et Jack C. Wileden. « Improved knowledge management through first-order logic in engineering design ontologies ». Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no 2 (2 septembre 2009) : 245–57. http://dx.doi.org/10.1017/s0890060409990096.

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AbstractThis paper presents the use of first-order logic to improve upon currently employed engineering design knowledge management techniques. Specifically, this work uses description logic in unison with Horn logic, to not only guide the knowledge acquisition process but also to offer much needed support in decision making during the engineering design process in a distributed environment. The knowledge management methods introduced are highlighted by the ability to identify modeling knowledge inconsistencies through the recognition of model characteristic limitations, such as those imposed by model idealizations. The adopted implementation languages include the Semantic Web Rule Language, which enables Horn-like rules to be applied to an ontological knowledge base and the Semantic Web's native Web Ontology Language. As part of this work, an ontological tool, OPTEAM, was developed to capture key aspects of the design process through a set of design-related ontologies and to serve as an application platform for facilitating the engineering design process. The design, analysis, and optimization of a classical I-beam problem are presented as a test-bed case study to illustrate the capabilities of these ontologies in OPTEAM. A second, more extensive test-bed example based on an industry-supplied medical device design problem is also introduced. Results indicate that well-defined, networked relationships within an ontological knowledge base can ultimately lead to a refined design process, with guidance provided by the identification of infeasible solutions and the introduction of “best-case” alternatives. These case studies also show how the application of first-order logic to engineering design improves the knowledge acquisition, knowledge management, and knowledge validation processes.
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Zhang, Ming E., et Hui Zhang. « Applied-Information Technology in Design of Ontology Integration of Clinical Medicine and Diagnosis System Based on Knowledge Management ». Advanced Materials Research 978 (juin 2014) : 197–200. http://dx.doi.org/10.4028/www.scientific.net/amr.978.197.

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Study on the clinical medical knowledge engineering, aims to build a large-scale, shared, reusable medical knowledge base, so as to provide the intelligent expert system of medicine, medical information retrieval system, medical education, medical natural language understanding etc.. In this paper, based on ontology integration technology, proposes an ontology integration of clinical medical knowledge management and computer-aided diagnosis system framework based on distributed ontology integration, and the technologies related to the knowledge management system is researched deeply, proposes a distributed ontology integration method based on semantics, in order to solve the information can not be shared between distributed information the distribution system and the problem of ontology integration, build a semantic platform can share the definition, design distributed ontology integration adapter, a reduction algorithm was proposed for distributed ontology integration relation, the ontology integration, reduce the redundant relation integrated ontology language, improving the quality and efficiency of ontology integration.
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Denecke, K. « Semantic Structuring of and Information Extraction from Medical Documents Using the UMLS ». Methods of Information in Medicine 47, no 05 (2008) : 425–34. http://dx.doi.org/10.3414/me0508.

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Summary Objectives: This paper introduces SeReMeD (Semantic Representation of Medical Documents), a method for automatically generating knowledge representations from natural language documents. The suitability of the Unified Medical Language System (UMLS) as domain knowledge for this method is analyzed. Methods: SeReMeD combines existing language engineering methods and semantic transformation rules for mapping syntactic information to semantic roles. In this way, the relevant content of medical documents is mapped to semantic structures. In order to extract specific data, these semantic structures are searched for concepts and semantic roles. A study is carried out that uses SeReMeD to detect specific data in medical narratives such as documented diagnoses or procedures. Results: The system is tested on chest X-ray reports. In first evaluations of the system’s performance, the generation of semantic structures achieves a correctness of 80%, whereas the extraction of documented findings obtains values of 93% precision and 83% recall. Conclusions: The results suggest that the methods described here can be used to accurately extract data from medical narratives, although there is also some potential for improving the results. The proposed methods provide two main benefits. By using existing language engineering methods, the effort required to construct a medical information extraction system is reduced. It is also possible to change the domain knowledge and therefore to create a more (or less) specialized system, capable of handling various medical sub-domains.
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