Research Paper: Automated Acquisition of Disease-Drug Knowledge from Biomedical and Clinical Documents: An Initial Study

@article{Chen2008ResearchPA,
  title={Research Paper: Automated Acquisition of Disease-Drug Knowledge from Biomedical and Clinical Documents: An Initial Study},
  author={Elizabeth S. Chen and George Hripcsak and Hua Xu and Marianthi Markatou and Carol Friedman},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2008},
  volume={15 1},
  pages={
          87-98
        }
}
OBJECTIVE Explore the automated acquisition of knowledge in biomedical and clinical documents using text mining and statistical techniques to identify disease-drug associations. DESIGN Biomedical literature and clinical narratives from the patient record were mined to gather knowledge about disease-drug associations. Two NLP systems, BioMedLEE and MedLEE, were applied to Medline articles and discharge summaries, respectively. Disease and drug entities were identified using the NLP systems in… 

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