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

@article{Tolentino2007AUS,
  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},
  year={2007},
  volume={7},
  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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References

Publications referenced by this paper.
Showing 1-10 of 32 references

A Frequency-based technique to improve the spelling suggestion rank in medical queries

  • J Crowell, Q Zeng, L Ngo, EM Lacroix
  • J Am Med Inform Assoc
  • 2004
Highly Influential
5 Excerpts

TECHNICAL REPORT LHNCBC-TR-2003–003, Lexical Systems: A report to the Board of Scientific Counselors

  • AC Browne, G Divita, C Lu, L McCreedy, D Nace
  • Lister Hill National Center for Biomedical…
  • 2003
Highly Influential
4 Excerpts

Mikko Saari in English: N-Gram string matching

  • M Saari
  • [http://www.melankolia.net/archives/2004/11…
  • 2006
1 Excerpt

Unlocking Information from Unstructured Vaccine Adverse Event Data through Natural Language Processing

  • HD Tolentino, MD Matters, +6 authors D Payne
  • Proceedings of the International Conference on…
  • 2006
2 Excerpts

Pre-processing to Improve the Classification of Chief Complaint Data

  • RD Boyce, BT Karras, WB Lober
  • Poster presented at the Syndromic Surveillance…
  • 2005
1 Excerpt

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