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Objective:To probe the exploration and integration of ideological and political teaching resources for College English by medical students' teams, and to build a College English ideological and political teaching resource database in medical colleges, so as to provide feasible experience for the integration of medical students' College English and ideological and political education.Methods:A questionnaire survey was conducted among 1 030 students in a medical college, and SPSSAU statistical software was employed to analyze the results to investigate the attitudes and demands of students towards the integration of English teaching and ideological and political education, the construction methods of College English ideological and political teaching resource database, and the presentation methods and types of resources. Based on the questionnaire results, textbook themes, teaching modules and students' majors, the content analysis and classification method were employed to construct a College English ideological and political teaching resource database that meets the expectations of medical students.Results:① A total of 836 students agreed with the necessity to integrate College English with ideological and political education, hoping to build an ideological and political resource database with videos and audios related to daily life ( n = 731), medical knowledge ( n = 664), social practice ( n = 622), news and current affairs ( n = 604) and guide the students to learn the above resources through the methods "teacher instruction + classroom discussion" ( n = 528). ② The ideological and political integration points in the questionnaire results were matched according to the subjects of the textbook, and further divided into two categories: universal and medically specific ideological and political teaching elements according to the content of the unit modules. Finally, the resource database of College English ideological and political teaching in medical colleges was built. Conclusion:Outstanding courses and resources are jointly explored and built by teachers and students.
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Gastric cancer is one of the common malignant tumors of the digestive system. The data from China Gastrointestinal Cancer Surgical Alliance suggests that there are great differences in the incidence of gastric cancer, the distribution of tumors in different stages and level of diagnosis and treatment in different regions of our country, and there are some differences in the data records of different medical centers. Therefore, it is very important to implement the standardized diagnosis and treatment and quality control of gastric cancer, to establish a standardized gastric cancer data-base, and to promote the standardization, homogenization and standardization of the diagnosis and treatment of gastric cancer in the country. As a result, the Expert Committee of Quality Control of Gastric Cancer of the National Cancer Quality Control Center drafts and formulates the Quality Control Index for Standardized Diagnosis and Treatment of Gastric Cancer in China (2022 Edition), in which the quality control index includes the aspects of imaging examination, pathological diagnosis, surgical treatment, drug therapy, radiotherapy and postoperative quality control of gastric cancer. The authors give a thorough elaboration on the lymph node dissection scope, standardization and quality control of postoperative lymph node detection and construction of database of gastric cancer.
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ABSTRACT The impact of traditional public health emergencies on the comprehensive education of medical students in colleges and universities is mainly reflected in the test of comprehensive literacy. Based on this, this paper studies the construction of a public health emergency impact analysis platform from a medical perspective and cloud computing. From the platform's database construction, event collection methods, impact evaluation rules and other aspects to achieve accurate analysis of the impact of emergencies, using the cloud computing method for comprehensive analysis and evaluation, the algorithm can analyze and intelligently classify information data on the Internet in the process of multiple input, and respond to potential public health emergencies according to cloud computing technology, in order to analyze the impact on the comprehensive quality of medical students. The experimental results show that the public health emergency analysis platform has the advantages of high feasibility and high data utilization, and can effectively improve the impact of public health emergencies on the comprehensive literacy of medical students.
RESUMO O impacto das tradicionais emergências de saúde pública sobre a formação integral de estudantes de medicina em faculdades e universidades reflete-se principalmente no teste de formação integral. Com base nisso, este documento estuda a construção da plataforma de análise de impacto de emergência de saúde pública sob a perspectiva médica e computação em nuvem. A partir da construção da base de dados da plataforma, foram desenvolvidos métodos de coleta de eventos, regras de avaliação de impacto e outros aspectos para obter uma análise precisa do impacto das emergências, usando o método de computação em nuvem para análise e avaliação. O algoritmo pode realizar a análise e classificação inteligente de dados de informação na Internet no processo de introdução múltipla, e responder a possíveis emergências de saúde pública de acordo com a tecnologia de computação em nuvem a fim de analisar o impacto sobre a qualificação dos estudantes de medicina. Os resultados experimentais mostram que a plataforma de análise de emergências de saúde pública tem as vantagens de alta viabilidade e alta utilização de dados, pode melhorar efetivamente o impacto das emergências de saúde pública na formação integral dos estudantes de medicina.
RESUMEN El impacto de las emergencias de salud pública tradicionales en la educación integral de los estudiantes de medicina en los colegios y universidades se refleja principalmente en la prueba de comprensión de textos. Con base en esto, este trabajo estudia la construcción de una plataforma de análisis de impacto de emergencias en salud pública desde una perspectiva médica y de computación en la nube. A partir de la construcción de la base de datos de la plataforma, los métodos de recolección de eventos, las reglas de evaluación de impacto y otros aspectos para lograr un análisis preciso del impacto de las emergencias, utilizando el método de computación en la nube para un análisis y evaluación integral, el algoritmo puede analizar y clasificar de manera inteligente los datos de información en Internet en el proceso de entrada múltiple. También puede responder a potenciales emergencias de salud pública de acuerdo con la tecnología de computación en la nube, con el fin de analizar el impacto en la calidad integral de los estudiantes de medicina. Los resultados experimentales muestran que la plataforma de análisis de emergencias de salud pública tiene las ventajas de alta viabilidad y alta utilización de datos, y puede mejorar de manera efectiva el impacto de las emergencias de salud pública en la comprensión de textos de los estudiantes de medicina.
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Humans , Medical Informatics , Biomedical Technology , Education, Medical , Emergency Medicine/education , Narrative Medicine , AlgorithmsABSTRACT
Since the China Gastrointestinal Cancer Surgery Union was established, it has continuously collected the annual reports of 95 gastrointestinal surgery centers nationwide from 2014 to 2017, and collected data on more than 130 000 cases of gastric cancer. This article combines the experience of associated databases at home and abroad to analyze the construction of the China Gastrointestinal Cancer Surgery Union Database, and explore the role of multi-center cooperation and big data analysis in the promotion of gastrointestinal surgery. For a complete database to successfully achieve its ultimate goal, it needs clear goals, continuous funding, a qualified management team, consensus on data content, a high completion rate, and the support and cooperation of an advanced processing system. As a high-quality database with clear construction goals and database project construction based on the goals, while promoting the level of clinical diagnosis and treatment, it is also widely used in risk prediction model development, audit supervision, epidemiological research, health service research, and clinical hypothesis testing, etc. How to build a high-quality database to give a full promotion in clinical diagnosis and treatment is a huge challenge. Although the construction of medical databases in China has just started, we believe that with the further improvement in understanding, management and analysis capabilities for surgical databases, more databases including the China Gastrointestinal Cancer Surgery Union Database will make greater contributions in promoting the development of diagnosis and treatment of gastrointestinal cancer in China and the world.
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Through the construction practice of the optic nerve disease picture database,the paper discusses the system architecture,database field,data content,picture processing,organization and implementation,and other issues about the construction of the clinical case picture database,states and analyzes the operation effect,points out deficiencies,and provides reference for the construction of relevant picture databases.
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Objective China has the biggest population of commonly encountered liver diseases , so hepatology resear-ches are of great importance to human health .In order to comprehensively collect/organize and effectively share/display liv-er physiopathology knowledge scattered around databases and literature , a Human Liver Disease Ontology ( HuLDO ) is built and applied in many ways .Methods HuLDO systematically classified and annotated various human liver diseases based on extensive cross mapping and integration of several authoritative nomenclatures of diseases and two monographs of hepatology .Results In the present version , HuLDO encompassed knowledge of 227 human liver diseases and was enriched by plenty of synonyms,definitions, descriptions, references, and logical or pathological relations between different disea-ses.Compared with other existing nomenclatures , HuLDO extended far beyond them in the scope of liver diseases .Several applications of HuLDO in database construction , knowledge collection and text mining were also described .Conclusion HuLDO offers a sound basis for knowledge mining , data integration and data analysis in the field of hepatology .HuLDO is publicly available at ftp://liveratlas.hupo.org.cn/5.liver 5.liver%20Disease%20Ontology/.
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This article briefly reviews the development of Traditional Chinese Medicine Thesaurus of China. As a professional thesaurus on TCM, its status and role in the database construction, literature retrieval, cataloging, periodicals indexing and information standardization were discussed. Its significance in the medical information organization, and data resource integration were described in this paper.
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The traditional Chinese medicine (TCM) literature database of jaundice is an important means of the realization of the standardization and digitalization of TCM liver disease syndrome differentiation and treatment. This article analyzed the background of jaundice literature database and its establishment and significance . The building of TCM jaundice database was described in this paper from literature data source, TCM jaundice the-saurus, literature collection and analysis. A brief introduction was made on contents of the database and the function. Deficiencies of the literature database such as the standardization, quality, daily maintenance, talent and team training were also explained .
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This paper discussed in detail on constructing periodical database by backtracking in terms of investigation and technique preparation before database construction.concrete carrying out plan of constructing and solving methods of difficulties during the construction,and database maintenance after tIle construction.