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Systematized Nomenclature of Medicine

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HESML: a real-time semantic measures library for the biomedical domain with a reproducible survey.

BMC bioinformatics
BACKGROUND: Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology are being extensively used in many applications in biomedical text mining and genomics respectively, which has encouraged the development of semantic ...

An ontology network for Diabetes Mellitus in Mexico.

Journal of biomedical semantics
BACKGROUND: Medical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from diabetic patients through monitoring and interaction. This allows them to know the disease and information about other conditions or comorbidities, tr...

Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish.

BMC medical informatics and decision making
BACKGROUND: Controlled vocabularies are fundamental resources for information extraction from clinical texts using natural language processing (NLP). Standard language resources available in the healthcare domain such as the UMLS metathesaurus or SNO...

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.

Artificial intelligence in medicine
Electronic health records (EHR) contain large volumes of unstructured text, requiring the application of information extraction (IE) technologies to enable clinical analysis. We present the open source Medical Concept Annotation Toolkit (MedCAT) that...

Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review.

Journal of medical Internet research
BACKGROUND: Interoperability and secondary use of data is a challenge in health care. Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) has become the uni...

Outlier concepts auditing methodology for a large family of biomedical ontologies.

BMC medical informatics and decision making
BACKGROUND: Summarization networks are compact summaries of ontologies. The "Big Picture" view offered by summarization networks enables to identify sets of concepts that are more likely to have errors than control concepts. For ontologies that have ...

Analysis of readability and structural accuracy in SNOMED CT.

BMC medical informatics and decision making
BACKGROUND: The increasing adoption of ontologies in biomedical research and the growing number of ontologies available have made it necessary to assure the quality of these resources. Most of the well-established ontologies, such as the Gene Ontolog...

Quality assurance and enrichment of biological and biomedical ontologies and terminologies.

BMC medical informatics and decision making
Biological and biomedical ontologies and terminologies are used to organize and store various domain-specific knowledge to provide standardization of terminology usage and to improve interoperability. The growing number of such ontologies and termino...

PCLiON: An Ontology for Data Standardization and Sharing of Prostate Cancer Associated Lifestyles.

International journal of medical informatics
BACKGROUND: Researches on Lifestyle medicine (LM) have emerged in recent years to garner wide attention. Prostate cancer (PCa) could be prevented and treated by positive lifestyles, but the association between lifestyles and PCa is always personalize...

Concept placement using BERT trained by transforming and summarizing biomedical ontology structure.

Journal of biomedical informatics
The comprehensive modeling and hierarchical positioning of a new concept in an ontology heavily relies on its set of proper subsumption relationships (IS-As) to other concepts. Identifying a concept's IS-A relationships is a laborious task requiring ...