A UMLS-based spell checker for natural language processing in vaccine safety

  title={A UMLS-based spell checker for natural language processing in vaccine safety},
  author={Herman D. Tolentino and Michael D. Matters and Wikke Walop and Barbara Law and Wesley Tong and Fang Liu and Paul A. Fontelo and Katrin Kohl and Daniel C. Payne},
  journal={BMC Medical Informatics and Decision Making},
  pages={3 - 3}
BACKGROUND The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI) from surveillance systems contain free-text components that can be analyzed using natural language processing. To extract Unified Medical Language System (UMLS) concepts from free text and classify AEFI reports… CONTINUE READING


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