A Document Clustering and Ranking System for Exploring MEDLINE Citations

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A 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...

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Model Formulation: A Document Clustering and Ranking System for Exploring MEDLINE Citations

OBJECTIVE A major problem faced in biomedical informatics involves how best to present information retrieval results. When a single query retrieves many results, simply showing them as a long list often provides poor overview. With a goal of presenting users with reduced sets of relevant citations, this study developed an approach that retrieved and organized MEDLINE citations into different to...

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designing and validating a textbook evaluation questionnaire for reading comprehension ii and exploring its relationship with achievement

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ژورنال

عنوان ژورنال: Journal of the American Medical Informatics Association

سال: 2007

ISSN: 1067-5027,1527-974X

DOI: 10.1197/jamia.m2215