Using Citation Data to Improve Retrieval from MEDLINE
نویسندگان
چکیده
منابع مشابه
Using Citation Data to Improve Retrieval from MEDLINE
Design and Measurements: A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, PageRank, and machine learning based on polynomial support vector machines. The objective was to prioritize important articles, defined as being included in a pre-existing bibliography of imp...
متن کاملResearch Paper: Using Citation Data to Improve Retrieval from MEDLINE
OBJECTIVE To determine whether algorithms developed for the World Wide Web can be applied to the biomedical literature in order to identify articles that are important as well as relevant. DESIGN AND MEASUREMENTS A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, Pag...
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Medical visual information retrieval has been a very active research area over the past ten years as an increasing amount of images is produced digitally and made available in the electronic patient record. Tools are required to give access to the images and exploit the information inherently stored in medical cases including images. To compare image retrieval techniques of research prototypes ...
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PROBLEM Automatic keyword assignment has been largely studied in medical informatics in the context of the MEDLINE database, both for helping search in MEDLINE and in order to provide an indicative "gist" of the content of an article. Automatic assignment of Medical Subject Headings (MeSH), which is formally an automatic text categorization task, has been proposed using different methods or com...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2006
ISSN: 1067-5027,1527-974X
DOI: 10.1197/jamia.m1909