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Proceedings of the Annual Symposium on Computer Application in Medical Care logoLink to Proceedings of the Annual Symposium on Computer Application in Medical Care
. 1992:639–643.

An evaluation of concept based latent semantic indexing for clinical information retrieval.

C G Chute 1, Y Yang 1
PMCID: PMC2247988  PMID: 1482949

Abstract

Latent Semantic Indexing (LSI) of surgical case report text using ICD-9-CM procedure codes and index terms was evaluated. The precision-recall performance of this two-step matrix retrieval process was compared with the SMART Document retrieval system, surface word matching, and humanly assigned procedure codes. Human coding performed best, two-step LSI did less well than surface matching or SMART. This evaluation suggests that concept-based LSI may be compromised by its two-stage nature and its dependence upon a robust term database linked to main concepts. However, the potential elegance of partial- credit concept matching merits the continued evaluation of LSI for clinical case retrieval.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Chute C. G., Yang Y., Evans D. A. Latent Semantic Indexing of medical diagnoses using UMLS semantic structures. Proc Annu Symp Comput Appl Med Care. 1991:185–189. [PMC free article] [PubMed] [Google Scholar]

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