The evaluation of the literature is an increasingly integral part of biomedical research. Clinicians, researchers, librarians, and others routinely use the literature to answer questions for clinical care and research. The size of the literature prevents the manual review of all documents, and automated methods are necessary for identifying high quality articles as a major filtering step. This work aimed to improve the performance and usability of existing tools with machine learning methods. First, evaluation methods for journals, articles, and websites were studied to determine if their performance varied widely for different topics. Second, the feasibility of predicting article citation count was examined by training Support Vector Machine (SVM) models on content and bibliometric features. Third, SVM models were used to automatically classify instrumental and non-instrumental citations.
| Identifer | oai:union.ndltd.org:VANDERBILT/oai:VANDERBILTETD:etd-12032008-215608 |
| Date | 15 December 2008 |
| Creators | Fu, Lawrence Dachen |
| Contributors | Constantin Aliferis, Cynthia Gadd, Nunzia Giuse, Daniel Masys, Lily Wang |
| Publisher | VANDERBILT |
| Source Sets | Vanderbilt University Theses |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.library.vanderbilt.edu//available/etd-12032008-215608/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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