AIMC Topic: Biological Ontologies

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The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants.

Journal of biomedical semantics Nov 14, 2016
BACKGROUND: The systematic analysis of a large number of comparable plant trait data can support investigations into phylogenetics and ecological adaptation, with broad applications in evolutionary biology, agriculture, conservation, and the function...
Phenotype Plants Biological Ontologies
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TNM-O: ontology support for staging of malignant tumours.

Journal of biomedical semantics Nov 14, 2016
BACKGROUND: Objectives of this work are to (1) present an ontological framework for the TNM classification system, (2) exemplify this framework by an ontology for colon and rectum tumours, and (3) evaluate this ontology by assigning TNM classes to re...
Humans Neoplasms Neoplasm Staging Biological Ontologies
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Evaluating semantic similarity between Chinese biomedical terms through multiple ontologies with score normalization: An initial study.

Journal of biomedical informatics Nov 1, 2016
BACKGROUND: Semantic similarity estimation significantly promotes the understanding of natural language resources and supports medical decision making. Previous studies have investigated semantic similarity and relatedness estimation between biomedic...
Humans Language China Natural Language Processing Data Mining Semantics Systematized Nomenclature of Medicine Biological Ontologies
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The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia.

PloS one Oct 27, 2016
Pre-eclampsia (PE) is a clinical syndrome characterized by new-onset hypertension and proteinuria at ≥20 weeks of gestation, and is a leading cause of maternal and perinatal morbidity and mortality. Previous studies have gathered abundant data about ...
Humans Pregnancy Female Pre-Eclampsia Biological Ontologies Terminology as Topic
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Supporting the analysis of ontology evolution processes through the combination of static and dynamic scaling functions in OQuaRE.

Journal of biomedical semantics Oct 17, 2016
BACKGROUND: The biomedical community has now developed a significant number of ontologies. The curation of biomedical ontologies is a complex task and biomedical ontologies evolve rapidly, so new versions are regularly and frequently published in ont...
Quality Control Biological Ontologies
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Dione: An OWL representation of ICD-10-CM for classifying patients' diseases.

Journal of biomedical semantics Oct 13, 2016
BACKGROUND: Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) has been designed as standard clinical terminology for annotating Electronic Health Records (EHRs). EHRs textual information is used to classify patients' diseases into an...
Humans Internet Biological Ontologies Disease
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Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration.

Nucleic acids research Oct 12, 2016
Linked Data (LD) aims to achieve interconnected data by representing entities using Unified Resource Identifiers (URIs), and sharing information using Resource Description Frameworks (RDFs) and HTTP. Ontologies, which logically represent entities and...
Software Databases, Factual Biological Ontologies Web Browser
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TrhOnt: building an ontology to assist rehabilitation processes.

Journal of biomedical semantics Oct 4, 2016
BACKGROUND: One of the current research efforts in the area of biomedicine is the representation of knowledge in a structured way so that reasoning can be performed on it. More precisely, in the field of physiotherapy, information such as the physiot...
Humans Semantics Biological Ontologies Rehabilitation
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Making adjustments to event annotations for improved biological event extraction.

Journal of biomedical semantics Sep 16, 2016
BACKGROUND: Current state-of-the-art approaches to biological event extraction train statistical models in a supervised manner on corpora annotated with event triggers and event-argument relations. Inspecting such corpora, we observe that there is am...
Machine Learning Models, Statistical Data Mining Biological Ontologies Computer Graphics
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Diagnosis, misdiagnosis, lucky guess, hearsay, and more: an ontological analysis.

Journal of biomedical semantics Sep 15, 2016
BACKGROUND: Disease and diagnosis have been the subject of much ontological inquiry. However, the insights gained therein have not yet been well enough applied to the study, management, and improvement of data quality in electronic health records (EH...
Humans Electronic Health Records Diagnostic Errors Semantics Biological Ontologies
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