A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries

@article{Jiang2011ASO,
  title={A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries},
  author={Min Jiang and Yukun Chen and Mei Liu and S. Trent Rosenbloom and Subramani Mani and Joshua C. Denny and Hua Xu},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2011},
  volume={18 5},
  pages={601-6}
}
OBJECTIVE The authors' goal was to develop and evaluate machine-learning-based approaches to extracting clinical entities-including medical problems, tests, and treatments, as well as their asserted status-from hospital discharge summaries written using natural language. This project was part of the 2010 Center of Informatics for Integrating Biology and the Bedside/Veterans Affairs (VA) natural-language-processing challenge. DESIGN The authors implemented a machine-learning-based named entity… CONTINUE READING
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