基于概念的潜在语义索引在临床信息检索中的评估。
An evaluation of concept based latent semantic indexing for clinical information retrieval.
作者信息
Chute C G, Yang Y
机构信息
Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
出版信息
Proc Annu Symp Comput Appl Med Care. 1992:639-43.
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.
对使用国际疾病分类第九版临床修订本（ICD-9-CM）程序编码和索引词的外科病例报告文本进行潜在语义索引（LSI）评估。将此两步矩阵检索过程的精确召回性能与SMART文档检索系统、表面词匹配和人工分配的程序编码进行比较。人工编码表现最佳，两步LSI比表面匹配或SMART表现稍差。该评估表明，基于概念的LSI可能因其两阶段性质及其对与主要概念相关的强大术语数据库的依赖而受到影响。然而，部分学分概念匹配的潜在优势值得继续评估LSI在临床病例检索中的应用。
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