Classifying biomedical knowledge in PubMed using multi-label vector machines with weaker optimization constraints-Reference-Cited by-同舟云学术

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Classifying biomedical knowledge in PubMed using multi-label vector machines with weaker optimization constraints

Published:2016-06-23 Issue:S1 Volume:28 Page:1233-1243
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Sun Xia,Wang Jiarong,Feng Jun,Chen Su-Shing,He Feijuan

Funder

NSFc

Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2439-9/fulltext.html

Reference38 articles.

1. Kim H, Chen S (2009) Associative naive Bayes classifier: automated linking of gene ontology to MEDLINE documents. Pattern Recogn 42:1777–1785

2. French L, Pavlidis P (2012) Using text mining to link journal articles to neuroanatomical databases. J Comp Neurol 520(8):1772–1783

3. Tsuruoka Y, Tsujii J, Ananiadou S (2008) FACTA: a text search engine for finding associated biomedical concepts. Bioinformatics 24(21):2559–2560

4. Plake C, Schiemann T, Pankalla M, Hakenberg J, Leser U (2006) AliBaba: PubMed as a graph. Bioinformatics 22(19):2444–2445

5. Doms A, Schroeder M (2005) GoPubMed: exploring PubMed with the gene ontology. Nucleic Acids Res 33:783–786

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