The LBI-method for automated indexing of diagnoses by using SNOMED: part 2: evaluation

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...

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Hauptverfasser: Brigl, Birgit (VerfasserIn) , Mieth, Markus (VerfasserIn) , Haux, Reinhold (VerfasserIn) , Glück, Ewald (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: February 1995
In: International journal of bio-medical computing
Year: 1995, Jahrgang: 38, Heft: 2, Pages: 101-108
ISSN:1878-366X
DOI:10.1016/0020-7101(94)01062-6
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/0020-7101(94)01062-6
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/0020710194010626
Volltext
Verfasserangaben:Birgit Brigl, Markus Mieth, Reinhold Haux, Ewald Glück
Beschreibung
Zusammenfassung: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.
Beschreibung:Elektronische Reproduktion der Druck-Ausgabe 4. Mai 2004
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Beschreibung:Online Resource
ISSN:1878-366X
DOI:10.1016/0020-7101(94)01062-6