Classification and retrieval of patient records using natural language: An experimental application of latent semantic analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The National Library of Medicine's Unified Medical Language System (UMLS) provides a structured lexicon enabling the application of latent semantic analysis for the classification and retrieval of patient diagnoses. Information matrices of complex number values from UMLS entries are constructed to create principal components via singular value decomposition. Natural language diagnosis entries or inquiries can be projected into the resultant N-dimension concept space, and evaluated by cosine deviation form the compressed concept components. Preliminary evaluations show that the technique is promising. A major advantage is the avoidance of manually constructed semantic network data schemes; semantic properties derive from statistical decomposition.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages1162-1163
Number of pages2
Editionpt 3
ISBN (Print)0780302168
StatePublished - Dec 1 1991
Externally publishedYes
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 3
Volume13
ISSN (Print)0589-1019

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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