An evaluation of concept based latent semantic indexing for clinical information retrieval.
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.
Chute
C G
CG
Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
Yang
Y
Y
D000043:Abstracting and Indexing / Q000379:methods*; D005069:Evaluation Studies as Topic; D016247:Information Storage and Retrieval; D012660:Semantics; D013358:Subject Headings; D017432:Unified Medical Language System