Automated encoding of clinical documents based on natural language processing.

  title={Automated encoding of clinical documents based on natural language processing.},
  author={Carol Friedman and Lyudmila Shagina and Yves A. Lussier and George Hripcsak},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  volume={11 5},
OBJECTIVE The aim of this study was to develop a method based on natural language processing (NLP) that automatically maps an entire clinical document to codes with modifiers and to quantitatively evaluate the method. METHODS An existing NLP system, MedLEE, was adapted to automatically generate codes. The method involves matching of structured output generated by MedLEE consisting of findings and modifiers to obtain the most specific code. Recall and precision applied to Unified Medical… CONTINUE READING
Highly Influential
This paper has highly influenced 12 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 815 citations. REVIEW CITATIONS

From This Paper

Figures and tables from this paper.


Publications citing this paper.
Showing 1-10 of 256 extracted citations

816 Citations

Citations per Year
Semantic Scholar estimates that this publication has 816 citations based on the available data.

See our FAQ for additional information.


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

Similar Papers

Loading similar papers…