Literature DB >> 7729926

The LBI-method for automated indexing of diagnoses by using SNOMED. Part 2. Evaluation.

B Brigl1, M Mieth, R Haux, E Glück.   

Abstract

We present a simple, formal, lexicon-based method for automated indexing of diagnoses based on the Systematized Nomenclature of Medicine (SNOMED), called LBI-method. Part 1 gave an introduction to the LBI-method and presented its realisation as application system SALBIDH. Part 2 presents the design and the results of an evaluation study to judge the quality of the LBI-method. In this evaluation study the quality of automated indexing as well as the quality of the retrieval of patient data by using automated indexed diagnoses was examined. The results show that the retrieval based on SNOMED indices is at least as good as the retrieval based on ICD classes despite a lot of indexing errors. From this we gather that our system is not yet good enough for immediate routine use but that an appropriate indexing quality and, as a result, a higher retrieval quality can be achieved after few improvements of the LBI-method, especially after revision of the lexicons.

Entities:  

Mesh:

Year:  1995        PMID: 7729926     DOI: 10.1016/0020-7101(94)01062-6

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  2 in total

1.  Automated coding of diagnoses--three methods compared.

Authors:  P Franz; A Zaiss; S Schulz; U Hahn; R Klar
Journal:  Proc AMIA Symp       Date:  2000

2.  Comparing SNOMED and ICPC retrieval accuracies using relational database models.

Authors:  Y A Lussier; M Bourque
Journal:  Proc AMIA Annu Fall Symp       Date:  1997
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.