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

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…

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…

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

MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction

Relation Extraction in the biomedical domain is a challenging task due to the lack of labeled data and the long-tail distribution of the entity mentions. Recent works propose distant supervision as a way to tackle the sc…