MScanner: a classifier for retrieving Medline citations
نویسندگان
چکیده
منابع مشابه
Retrieving Citations on the Web
A fundamental feature of research papers is how many times they are cited in other articles, i.e. how many later references to them there are. That is the only objective way of evaluation how important or novel a paper's ideas are. With an increasing number of articles available online, it has become possible to find these citations in a more or less automated way. This paper first describes ex...
متن کاملA Document Clustering and Ranking System for Exploring MEDLINE Citations
Design: A text mining system framework for automatic document clustering and ranking organized MEDLINE citations following simple PubMed queries. The system grouped the retrieved citations, ranked the citations in each cluster, and generated a set of keywords and MeSH terms to describe the common theme of each cluster. Measurements: Several possible ranking functions were compared, including ci...
متن کاملSummarizing Drug Information in Medline Citations
Adverse drug events and drug-drug interactions are a major concern in patient care. Although databases exist to provide information about drugs, they are not always up-to-date and complete (particularly regarding pharmacogenetics). We propose a methodology based on automatic summarization to identify drug information in Medline citations and present results to the user in a convenient form. We ...
متن کاملComparing Medline citations using modified N-grams
OBJECTIVE We aim to identify duplicate pairs of Medline citations, particularly when the documents are not identical but contain similar information. MATERIALS AND METHODS Duplicate pairs of citations are identified by comparing word n-grams in pairs of documents. N-grams are modified using two approaches which take account of the fact that the document may have been altered. These are: (1) d...
متن کاملAutomated knowledge extraction from MEDLINE citations
As part of preliminary studies for the development of a digital library, we have studied the possibility of using the co-occurrence of MeSH terms in MEDLINE citations associated with the search strategies optimal for evidence-based medicine to automate construction of a knowledge base. We use the UMLS semantic types in order to analyze search results to determine which semantic types are most r...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2008
ISSN: 1471-2105
DOI: 10.1186/1471-2105-9-108