AIMC Topic: Biological Ontologies
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Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change.
Journal of biomedical informatics
Sep 8, 2018
The consistent evolution of ontologies is a major challenge for systems using semantically enriched data, for example, for annotating, indexing, or reasoning. The biomedical domain is a typical example where ontologies, expressed with different forma...
Quality assurance of biomedical terminologies and ontologies.
Journal of biomedical informatics
Sep 8, 2018
Using predicate and provenance information from a knowledge graph for drug efficacy screening.
Journal of biomedical semantics
Sep 6, 2018
BACKGROUND: Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge as subject-predicate-object triples, in which the predicate indicates the relation...
EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis.
Computational and mathematical methods in medicine
Sep 4, 2018
Sleep staging is considered as an effective indicator for auxiliary diagnosis of sleep diseases and related psychiatric diseases, so it attracts a lot of attention from sleep researchers. Nevertheless, sleep staging based on visual inspection of trad...
Representing vaccine misinformation using ontologies.
Journal of biomedical semantics
Aug 31, 2018
BACKGROUND: In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While there are various levels of ...
SNOMED CT standard ontology based on the ontology for general medical science.
BMC medical informatics and decision making
Aug 31, 2018
BACKGROUND: Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic health data. Some efforts have be...
As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018.
Yearbook of medical informatics
Aug 29, 2018
OBJECTIVES: To select, present, and summarize the best papers published in 2017 in the field of Knowledge Representation and Management (KRM).
Disease Specific Ontology of Adverse Events: Ontology extension and adaptation for Chronic Kidney Disease.
Computers in biology and medicine
Aug 28, 2018
BACKGROUND: Adverse Event (AE) ontology can be used to support interoperability and computer-assisted reasoning of AEs. Despite significant progress in developing biomedical ontologies, they are facing the obstacle of adoption partly because those on...
The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques.
Medical physics
Aug 24, 2018
PURPOSE: Personalized medicine is expected to yield improved health outcomes. Data mining over massive volumes of patients' clinical data is an appealing, low-cost and noninvasive approach toward personalization. Machine learning algorithms could be ...
Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain.
Computer methods and programs in biomedicine
Aug 16, 2018
OBJECTIVE AND BACKGROUND: The exponential growth of the unstructured data available in biomedical literature, and Electronic Health Record (EHR), requires powerful novel technologies and architectures to unlock the information hidden in the unstructu...
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