On building a diabetes centric knowledge base via mining the web
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Health Policy,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1186/s12911-019-0771-6.pdf
Reference45 articles.
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3. Yang Z, Yang J, Liu W, Wu L, Xing L, Wang Y, Fan X, Cheng Y. T2d@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus. Database. 2013;2013. https://doi.org/10.1093/database/bat052 .
4. Gopinath K, Jayakumararaj R, Karthikeyan M. DAPD: A knowledgebase for diabetes associated proteins. IEEE/ACM Trans Comput Biol Bioinforma. 2015; 12(3):604–10. https://doi.org/10.1109/tcbb.2014.2359442 .
5. Rotmensch M, Halpern Y, Tlimat A, Horng S, Sontag D. Learning a health knowledge graph from electronic medical records. Sci Reports. 2017; 7(1). https://doi.org/10.1038/s41598-017-05778-z .
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