Introducing Medical Semantic Annotation Guidelines for German Clinical Documentation with SNOMED CT

Introduction: The systematic annotation of clinical free-text documents with standardized terminologies, such as SNOMED CT (SCT), is essential for developing interoperable and semantically enriched healthcare resources. Domain-specific natural language corpora with meaningful and expressive annotations [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds108
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Introducing Medical Semantic Annotation Guidelines for German Clinical Documentation with SNOMED CT

German Medical Science (German Research Foundation)
Biomedical Text Mining and Ontologies
article

Introducing Medical Semantic Annotation Guidelines for German Clinical Documentation with SNOMED CT

article en

Abstract

Introduction: The systematic annotation of clinical free-text documents with standardized terminologies, such as SNOMED CT (SCT), is essential for developing interoperable and semantically enriched healthcare resources. Domain-specific natural language corpora with meaningful and expressive annotations [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Medical University of Graz (AT), University of Münster (DE), Universitätsklinikum Erlangen (DE), Averbis (Germany) (DE), Technical University of Munich (DE), Leipzig University (DE)
Openalex Percentile: Top 43%
Biomedical Text Mining and Ontologies
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Introducing Medical Semantic Annotation Guidelines for German Clinical Documentation with SNOMED CT · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS