1.Progress in the 2009 H1N1 influenza A
International Journal of Pediatrics 2010;37(1):6-10
In March 2009,a new influenza A H1N1 virus was identified in Mexico.It is a quadruple-reassortant influenza A virus, which is composed of a combination of swine, avian strains and human. The clinical symptoms of the 2009 new influenza A (H1N1) are similar with the seasonal influenza.The severe illness could happened in youth and middle-aged without underlying diseases that differs from seasonal influenza. The risk groups are individuals with underlying diseases,pregnancy and obesity which has not been considered as risk factor in previous. Although oseltamivir-resistant variant influenza A ( H1N1 ) were reported, strain is susceptible to oseltamivir. This review summarizes the current information concerning viral genom,clinical features and treatment of the new pandemic influenza virus A H1N1 infection.
2.Clique clustering-based automatic summarization of multiple documents on schizophrenia
Chinese Journal of Medical Library and Information Science 2016;25(3):18-24
A semantic predication network was developed by processing the documents on schizophrenia into se-mantic predication sets using SemRep, from which the core information was extracted to produce a graphic summary which was consisted of highly cohesive cliques.The automatic methods for summarizing biomedical documents were studied using the network properties combined with semantic information.The subthemes in the summary obtained by clustering were evaluated according to the clique co-node matrix and the contents of the summary were assessed according to the reference criteria.The accuracy was 0.93, the recall was 0.68, and the F-value was 0.79 for the summary, indicating that this method can effectively recognize the core information in documents and the semantic information in network graphics.
3.The Introduction and Application of Theories and Methods ofMeasuring Medical Education Environment
Chinese Journal of Medical Education Research 2003;0(04):-
Based on summarizing the importance of education environment and the development and current status ofresearch on medical education environment, the authors measured the status of, and the problems existing in, educationenvironment of China Medical University by DREEM (Dundee Ready Education Environment Measure), and then sug-gested strategies to modify the education environment and hence to improve the quality of medical education on thebasis of the advanced concepts of education environment design and construction in the world and the authors' experi-ence in the reform of medical curriculum.[
4.Renewed standards and methods of residency training in American and our reference
Chinese Journal of Medical Education Research 2003;0(02):-
To improve the quality of health care by improving the quality of residency training,the Accreditation Council for Graduate Medical Education of USA has renewed the standards and methods of residency training to improve health care,and issued the compe- tence-based training standards. The residents have to achieve six key competences when they finish the training. The University of Washington,School of Medicine,responds to the new re- quirements and standards by reforming its residency training pathway,enriching formal teach- ing/training activities,and improving its supervision and the evaluation. We should use for refer- ence reforming the residency training in China.
5.Construction of information service platform for biomedical industry groups
Yingying ZHAO ; Han ZHANG ; Yuhong ZHAO
Chinese Journal of Medical Library and Information Science 2016;25(3):8-12
The construction plan of information service platform for biomedical industry groups was proposed, including expert intelligence database, special database, advanced information service platform and biomedical achievements transformation platform.The information ( including names, subject fields and research interests of experts) in expert intelligence database can be searched according to the subject fields and research interests of experts.The special database is consisted of database of special literature, genes, proteins, special drugs, achievements, patents and demands.The information service platform can provide literature retrieval service, literature novelty assessment service, data-mining service, information analysis service, decision-making support service, and competitive informa-tion service.The biomedical achievements transformation platform can provide service for transforming achievements and for solving difficulty demand problems.
6.Bibliometric analysis of hot issues of pediatrics from 2012 to 2016
Xiaoyun CAO ; Shichao XIN ; Yuhong ZHAO
International Journal of Pediatrics 2017;44(6):426-431
Objective To conduct a bibliometric analysis of pediatric literature in recent 5 years in Pubmed database,and to explore the focus issues of pediatrics.Methods Bibliographies from research literature of pediatrics in PubMed database from 2012 through 2016 were retrieved.The publication years,journals,the prolific authors and frequency of Mesh major topics were counted.MeSH heading/subheading matrix were formed.SPSS 19.0 statistical software was applied for clustering analysis.Results A total of 9375 articles were included.There were 45 MeSH heading/subheadings,which were clustered into 4 categories.Conclusion The research focuses in pediatrics are as follows:the clinical competence training and education research;the related pediatric issues from the perspective of social medicine;medical error prevention and the related legislation;the situation of Chinese pediatricians and doctor-patient relationship.
7.Comparative Research on Retrieval Function of Google Scholar, Scirus and PubMed
Yuefang HOU ; Yuhong ZHAO ; Daichen GONG
Journal of Medical Informatics 2009;30(7):12-16
The paper gives a comparative analysis of retrieval function among PubMed, Google Scholar and Scims mainly form the following aspects: retrieval methods, retrieval results and output formats. Effects of retrieval are compared through 10 retrieval tests, and respective characteristics of three retrieval tools are analyzed. Google Scholar has the largest scope;PubMed has better retrieval function than the other two;in the aspect of result output, three retrieval tools have their own characteristics.
8.Electronic Medical Records Assisting ClinicalD ecision
Ye ZHANG ; Han ZHANG ; Yuhong ZHAO
Journal of Medical Informatics 2015;(6):7-12
〔Abstract〕 The paper briefly introduces the concept and development process of Electronic Medical Records ( EMR) , elaborates in-formation extraction of EMR as well as the methods assisting clinical decision, including machine learning, statistical learning and rule induction, etc.It describes the application of EMR assisting clinical decision in diagnostic criteria identification and clinical diagnosis ac-tivities, reflects its evidence-based significance.
9.Intensive insulin therapy in type 2 diabetes mellitus with Sulphonylureas failure ——The effective dosage of insulin and its correlated factors
Rong RONG ; Yuhong CHEN ; Yongju ZHAO
Chinese Journal of Diabetes 1994;0(01):-
Objective In order to explore the effective dosage of insulin and its correlated elements in sulphonylureas failure in type 2 diabetes mellitus.Methods 61 cases of type 2 diabetics were separated into two groups,one group (group 1) is the first time using insulin and the other group (group 2) is in the use of insulin in the past.Results The effective insulin dosage of group 2 is significantly higher than that of group 1 (36.2?10.6 IU/d vs 30.1?10.5IU/d, P
10.Effects of aprotinin versus tranexamic acid on blood coagulation and platelet function in patients undergoing valve replacement
Xiaoqin ZHAO ; Weipeng WANG ; Yuhong WANG
Chinese Journal of Anesthesiology 1995;0(10):-
Objective It has been shown that aprotinin and tranexamic acid are equally effective in protecting platelet and reducing postoperative bleeding. The aim of this study was to compare the effects of aprotinin and tranexamic acid on blood coagulation. Methods Thirty patients undergoing elective valve replacement were randomly divided into two groups : (1) aprotinin group (AP, P