Prediction of Similarities Among Rheumatic Diseases-Reference-Cited by-同舟云学术

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Prediction of Similarities Among Rheumatic Diseases

Published:2010-11-03 Issue:3 Volume:36 Page:1485-1490
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Yildirim Pinar,Çeken Çinar,Hassanpour Reza,Tolun Mehmet Resit

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-010-9609-6.pdf

Reference26 articles.

1. Krallinger, M., Leither, F., and Valencia, A., Analysis of biological processes and diseases using text mining approaches. Bioinform Meth Clin Res Ser Meth Mol Biol 593:341–382, 2009.

2. Cohen, A. M., and Hersh, W. R., A survey of current work in biomedical text mining. Brief Bioinform 6(1):57–71, 2005.

3. Chen, E. S., Hripcsak, G., Xu, H., Markatou, M., and Friedman, C., Automated acquisition of disease-drug knowledge from biomedical and clinical documents: an initial study. J Am Med Inform Assoc 15(1):87–98, 2008.

4. Rebholz-Schuhmann, D., Kirsch, H., Arregui, M., Gaudan, S., Riethoven, M., and Stoehr, P., EBIMed-text crunching to gather facts for proteins from Medline. Bioinformatics 23:237–244, 2006.

5. Cheng, D., Knox, C., Young, N., and Stothard, P., PolySearch: a web-based text mining system for extracting relationships between human diseases, genes, mutations, drugs and metabolites. Nucleic Acids Res 36:399–405, 2008.

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