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

C. G. Chute, Y. Yang

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)639-643
Number of pages5
JournalProceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care
StatePublished - 1992
Externally publishedYes

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