Evaluation of Co-occurring Terms in Clinical Documents Using Latent Semantic Indexing

Choonghyun Han, Sooyoung Yoo, Jinwook Choi
2011 Healthcare Informatics Research  
Objectives: Measurement of similarities between documents is typically influenced by the sparseness of the term-document matrix employed. Latent semantic indexing (LSI) may improve the results of this type of analysis. Methods: In this study, LSI was utilized in an attempt to reduce the term vector space of clinical documents and newspaper editorials. Results: After applying LSI, document similarities were revealed more clearly in clinical documents than editorials. Clinical documents which can
more » ... be characterized with co-occurring medical terms, various expressions for the same concepts, abbreviations, and typographical errors showed increased improvement with regards to a correlation between co-occurring terms and document similarities. Conclusions: Our results showed that LSI can be used effectively to measure similarities in clinical documents. In addition, correlation between the co-occurrence of terms and similarities realized in this study is an important positive feature associated with LSI.
doi:10.4258/hir.2011.17.1.24 pmid:21818454 pmcid:PMC3092990 fatcat:a573qvayv5cdfjl46cispx7wp4