New Research Article: “Abstract Mining” Using PubMed/Medline (Preprint)
The following preprint was recently shared by the authors on arXiv.
John B. Kostis
Rutgers Robert Wood Johnson Medical School
We have developed an application that will take a “MEDLINE” output from the PubMed database and allows the user to cluster all non-trivial words of the abstracts of the PubMed output. The number of clusters to use can be selected by the user.
A specific cluster may be selected, and the PMIDs and dates for all publications in the selected cluster are displayed underneath. See figure 2, where cluster 12 is selected.
The application also has an “Abstracts” tab, where the abstracts for the selected cluster can be perused. Here, it is also possible to download a HTML file containing the PMID, date, title, and abstract for each publication in the selected cluster.
A third tab is called “Titles”, where all the titles for the selected cluster are displayed.
Via a “Use Cluster” button, the selected Cluster can itself be clustered. A “Back” button allows the user to return to any previous state.
Finally, it is also possible to exclude documents whose abstracts contain certain words (see figure 3).
The application will allow researchers to enter general search terms in the PubMed search engine, then use the application to search for publications of special interest within those search terms.
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8 pages; PDF.
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About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.