Information-Theoretic Classification of SNOMED Improves the Organization of Context-Sensitive Excerpts from Cochrane Reviews

Lee T. Sam, Tara Borlawsky, Ying Tao, Jianrong Li, Carol Friedman, Barry Smith, Yves A. Lussier. Information-Theoretic Classification of SNOMED Improves the Organization of Context-Sensitive Excerpts from Cochrane Reviews. In AMIA 2007, American Medical Informatics Association Annual Symposium, Chicago, IL, USA, November 10-14, 2007. AMIA, 2007. [doi]

@inproceedings{SamBTLFSL07,
  title = {Information-Theoretic Classification of SNOMED Improves the Organization of Context-Sensitive Excerpts from Cochrane Reviews},
  author = {Lee T. Sam and Tara Borlawsky and Ying Tao and Jianrong Li and Carol Friedman and Barry Smith and Yves A. Lussier},
  year = {2007},
  url = {http://knowledge.amia.org/amia-55142-a2007a-1.623841/t-001-1.624626/f-001-1.624627/a-123-1.624759/a-124-1.624756},
  researchr = {https://researchr.org/publication/SamBTLFSL07},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2007, American Medical Informatics Association Annual Symposium, Chicago, IL, USA, November 10-14, 2007},
  publisher = {AMIA},
}