A Finite-State Approach to Translate SNOMED CT Terms into Basque Using Medical Prefixes and Suffixes

Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary

Medical language exhibits great variations regarding users, institutions and language registers. With large parts of clinical documents in free text, NLP is playing a more and more important role in unlocking re-usable a…

A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons

VCM (Visualization of Concept in Medicine) is an iconic language for representing key medical concepts by icons. However, the use of this language with reference terminologies, such as SNOMED CT, will require the mapping…

Leveraging SNOMED CT terms and relations for machine translation of clinical texts from Basque to Spanish

Automated SNOMED CT Concept Annotation in Clinical Text Using Bi-GRU Neural Networks

Automated annotation of clinical text with standardized medical concepts is critical for enabling structured data extraction and decision support. SNOMED CT provides a rich ontology for labeling clinical entities, but ma…

Binding SNOMED-CT Terms to Archetype Elements: Establishing a Baseline of Results

Introduction: This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems". Background: The proliferation of archetypes as a means to repre…