Construction of a (semi-)automated SNOMED — ICD code linkage

Baumann, R. P.

doi:10.1007/978-3-642-93295-3_40

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introductiou Aud Fundamental Aspects1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

1988

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To perform this task, textual data are usually coded according to a thesaurus like ICD-9 or SNOMED [1,2,7,8,10,16,17]. The most appropriate code of the thesaurus used must be conscientiously documented, and only this code is storedas the short but unprecise form of the corresponding textual data.…”

Section: Introductiou Aud Fundamental Aspectsmentioning

confidence: 99%

Processing Medical Natural Language Data by the System WAREL

Dorda¹,

Haidl²,

Sachs³

1988

Methods Inf Med

View full text Add to dashboard Cite

SummaryMany clinical data are in natural language form (diagnoses, therapies, etc.). There is great interest in making these data retrievable to form samples of patients for scientific investigations (statistical analyses, courses of diseases, etc.). To perform this task, “medical natural language data” have to be prepared and stored in a retrieval-oriented database. In this paper, the advantages of processing textual data are shown in contrast to coding. Accordingly, in our system WAREL medical thesauri (like ICD 9 or SNOMED) are not used for codification; they are taken as a knowledge base during the retrieval and for testing the quality of the data during documentation. The fundamental methods (computerized textual analysis and different algorithms for comparing texts) are explained in detail, and their realization within the system WAREL is illustrated (WAREL stands for Wiener Allgemeines Relationenschema).

show abstract

Section: Introductiou Aud Fundamental Aspectsmentioning

confidence: 99%