scholarly journals NETME: On-the-Fly Knowledge Network Construction from Biomedical Literature

2021 ◽  
pp. 386-397
Author(s):  
Alessandro Muscolino ◽  
Antonio Di Maria ◽  
Salvatore Alaimo ◽  
Stefano Borzì ◽  
Paolo Ferragina ◽  
...  
Keyword(s):  
Biomedical Literature ◽  
Knowledge Network ◽  
Network Construction

scholarly journals NETME: on-the-fly knowledge network construction from biomedical literature

2022 ◽  
Vol 7 (1) ◽  
Author(s):  
Alessandro Muscolino ◽  
Antonio Di Maria ◽  
Rosaria Valentina Rapicavoli ◽  
Salvatore Alaimo ◽  
Lorenzo Bellomo ◽  
...  
Keyword(s):  
Knowledge Discovery ◽  
Biological Networks ◽  
Biomedical Literature ◽  
Knowledge Networks ◽  
Knowledge Network ◽  
Biological Knowledge ◽  
Web Interface ◽  
Network Construction ◽  
Biological Literature

Abstract Background The rapidly increasing biological literature is a key resource to automatically extract and gain knowledge concerning biological elements and their relations. Knowledge Networks are helpful tools in the context of biological knowledge discovery and modeling. Results We introduce a novel system called NETME, which, starting from a set of full-texts obtained from PubMed, through an easy-to-use web interface, interactively extracts biological elements from ontological databases and then synthesizes a network inferring relations among such elements. The results clearly show that our tool is capable of inferring comprehensive and reliable biological networks.

scholarly journals Association between CYP1A1 Gene Polymorphisms and Cervical Cancer Susceptibility: A Meta-Analysis

2021 ◽  
Author(s):  
Mingxia Shen ◽  
Juan Wang ◽  
Junqi Ma
Keyword(s):  
Cervical Cancer ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Biomedical Literature ◽  
Knowledge Network ◽  
Cyp1a1 Gene ◽  
Hardy Weinberg Equilibrium ◽  
Funnel Plots ◽  
Equilibrium Test

IntroductionThis study is to systemically analyze the association of CYP1A1 gene MspI and Ile462Val polymorphisms with cervical cancer susceptibility.Material and methodsThe literatures about the associations between CYP1A1 polymorphism and cervical cancer were retrieved through PubMed, Embase, Chinese biomedical literature database, Wanfang database, Database of Chinese Scientific and Technical Periodicals (VIP) and China Knowledge Network. Hardy-Weinberg equilibrium test was used to evaluate the quality of the included studies, and the data in the studies selected were analyzed by Stata 12.0 software. Potential publication bias was assessed with funnel plots and a modified Egger’s linear regression test.ResultsA total of 17 studies were enrolled in this analysis. There were 14 articles on MspI locus polymorphism, including 2448 cases and 2520 controls. We found significant association between MspI locus polymorphism and cervical cancer susceptibility (C vs. T, OR 1.333, 95% CI 1.214-1.464, P≤0.001; CC vs. TT, OR 1.962, 95% CI 1.571-2.450, P≤0.001; CC/CT vs.TT, OR1.591, 95% CI1.406-1.800, P≤0.001; CCvs.TT/CT,OR1.429, 95% CI 1.177-1.736, P≤0.001). Totally, 11 articles, including 2137 cases and 2116 controls, analyzed the Ile462Val locus polymorphism and the risk of cervical cancer. The result showed significant association between Ile462Val locus polymorphism and cervical cancer susceptibility (Val vs. Ile, OR 1.338, 95% CI 1.199-1.493, P≤0.001; ValVal vs. IleIle, OR 1.576, 95% CI 1.188-2.090, P=0.002; ValVal/ValIle vs. IleIle, OR 1.498; 95% CI 1.299-1.728, P≤0.001).ConclusionsBoth MspI and Ile462Val polymorphisms of CYP1A1 gene are associated with the risk of cervical cancer.

The Center for International Biomedical Communications Research

1966 ◽  
Vol 05 (03) ◽  
pp. 142-146
Author(s):  
A. Kent ◽  
P. J. Vinken
Keyword(s):  
Information Needs ◽  
English Language ◽  
Medical Information ◽  
Biomedical Literature ◽  
Information Storage ◽  
Control Mechanisms ◽  
University Of Pittsburgh ◽  
The World ◽  
The University ◽  
Excerpta Medica Foundation

A joint center has been established by the University of Pittsburgh and the Excerpta Medica Foundation. The basic objective of the Center is to seek ways in which the health sciences community may achieve increasingly convenient and economical access to scientific findings. The research center will make use of facilities and resources of both participating institutions. Cooperating from the University of Pittsburgh will be the School of Medicine, the Computation and Data Processing Center, and the Knowledge Availability Systems (KAS) Center. The KAS Center is an interdisciplinary organization engaging in research, operations, and teaching in the information sciences.Excerpta Medica Foundation, which is the largest international medical abstracting service in the world, with offices in Amsterdam, New York, London, Milan, Tokyo and Buenos Aires, will draw on its permanent medical staff of 54 specialists in charge of the 35 abstracting journals and other reference works prepared and published by the Foundation, the 700 eminent clinicians and researchers represented on its International Editorial Boards, and the 6,000 physicians who participate in its abstracting programs throughout the world. Excerpta Medica will also make available to the Center its long experience in the field, as well as its extensive resources of medical information accumulated during the Foundation’s twenty years of existence. These consist of over 1,300,000 English-language _abstract of the world’s biomedical literature, indexes to its abstracting journals, and the microfilm library in which complete original texts of all the 3,000 primary biomedical journals, monitored by Excerpta Medica in Amsterdam are stored since 1960.The objectives of the program of the combined Center include: (1) establishing a firm base of user relevance data; (2) developing improved vocabulary control mechanisms; (3) developing means of determining confidence limits of vocabulary control mechanisms in terms of user relevance data; 4. developing and field testing of new or improved media for providing medical literature to users; 5. developing methods for determining the relationship between learning and relevance in medical information storage and retrieval systems’; and (6) exploring automatic methods for retrospective searching of the specialized indexes of Excerpta Medica.The priority projects to be undertaken by the Center are (1) the investigation of the information needs of medical scientists, and (2) the development of a highly detailed Master List of Biomedical Indexing Terms. Excerpta Medica has already been at work on the latter project for several years.

TheOrvosi Hetilap (Hungarian Medical Journal)in the network of medical journals

2014 ◽  
Vol 155 (22) ◽  
pp. 876-879
Author(s):  
András Schubert
Keyword(s):  
Medical Journal ◽  
Scientific Knowledge ◽  
Knowledge Network ◽  
Scientific Journals ◽  
Scientific Enterprise ◽  
Medical Journals ◽  
The Subject

The role of networks is swiftly increasing in the production and communication of scientific knowledge. Network aspects have, therefore, an ever growing importance in the analysis of the scientific enterprise, as well. The present paper demonstrates some techniques of studying the network of scientific journals on the subject of seeking the position of Orvosi Hetilap (Hungarian Medical Journal) in the international journal network. Orv. Hetil., 2014, 155(22), 876–879.

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