 Connection
Michael Bada to Data Mining
This is a "connection" page, showing publications Michael Bada has written about Data Mining.
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Connection Strength |
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1.092 |
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Bada M. Mapping of biomedical text to concepts of lexicons, terminologies, and ontologies. Methods Mol Biol. 2014; 1159:33-45.
Score: 0.404
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Bada M, Eckert M, Evans D, Garcia K, Shipley K, Sitnikov D, Baumgartner WA, Cohen KB, Verspoor K, Blake JA, Hunter LE. Concept annotation in the CRAFT corpus. BMC Bioinformatics. 2012 Jul 09; 13:161.
Score: 0.365
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Cohen KB, Lanfranchi A, Choi MJ, Bada M, Baumgartner WA, Panteleyeva N, Verspoor K, Palmer M, Hunter LE. Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles. BMC Bioinformatics. 2017 Aug 17; 18(1):372.
Score: 0.130
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Funk C, Baumgartner W, Garcia B, Roeder C, Bada M, Cohen KB, Hunter LE, Verspoor K. Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters. BMC Bioinformatics. 2014 Feb 26; 15:59.
Score: 0.102
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Verspoor K, Cohen KB, Lanfranchi A, Warner C, Johnson HL, Roeder C, Choi JD, Funk C, Malenkiy Y, Eckert M, Xue N, Baumgartner WA, Bada M, Palmer M, Hunter LE. A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools. BMC Bioinformatics. 2012 Aug 17; 13:207.
Score: 0.092
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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