AIMC Topic: Vocabulary, Controlled
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Toward a systematic conflict resolution framework for ontologies.
Journal of biomedical semantics
Aug 9, 2021
BACKGROUND: The ontology authoring step in ontology development involves having to make choices about what subject domain knowledge to include. This may concern sorting out ontological differences and making choices between conflicting axioms due to ...
Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish.
BMC medical informatics and decision making
May 4, 2021
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...
Improved characterisation of clinical text through ontology-based vocabulary expansion.
Journal of biomedical semantics
Apr 12, 2021
BACKGROUND: Biomedical ontologies contain a wealth of metadata that constitutes a fundamental infrastructural resource for text mining. For several reasons, redundancies exist in the ontology ecosystem, which lead to the same entities being described...
A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
In the electronic health record, the majority of clinically relevant information is stored within clinical notes. Most clinical notes follow a set organizational structure composed of canonicalized section headers that facilitate clinical review and ...
RadLex Normalization in Radiology Reports.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on standardizing the entities to a common radiology-specific vocabulary. Furth...
Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry.
BMC medical informatics and decision making
Dec 15, 2020
BACKGROUND: The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis. Similar to all other U.S. a...
Quality assurance and enrichment of biological and biomedical ontologies and terminologies.
BMC medical informatics and decision making
Dec 15, 2020
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...
UFO: A tool for unifying biomedical ontology-based semantic similarity calculation, enrichment analysis and visualization.
PloS one
Jul 9, 2020
BACKGROUND: Biomedical ontologies have been growing quickly and proven to be useful in many biomedical applications. Important applications of those data include estimating the functional similarity between ontology terms and between annotated biomed...
The Role and Promise of Artificial Intelligence in Medical Toxicology.
Journal of medical toxicology : official journal of the American College of Medical Toxicology
Mar 25, 2020
Artificial intelligence (AI) refers to machines or software that process information and interact with the world as understanding beings. Examples of AI in medicine include the automated reading of chest X-rays and the detection of heart dysrhythmias...
Learning Inter-Sentence, Disorder-Centric, Biomedical Relationships from Medical Literature.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
Relationships between disorders and their associated tests, treatments and symptoms underpin essential information needs of clinicians and can support biomedical knowledge bases, information retrieval and ultimately clinical decision support. These r...
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