AIMC Topic: Biological Ontologies

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Ontological approach to the knowledge systematization of a toxic process and toxic course representation framework for early drug risk management.

Scientific reports Sep 3, 2020
Various types of drug toxicity can halt the development of a drug. Because drugs are xenobiotics, they inherently have the potential to cause injury. Clarifying the mechanisms of toxicity to evaluate and manage drug safety during drug development is ...
Humans Drug Development Semantics Biological Ontologies Database Management Systems Risk Management Pharmaceutical Preparations Drug-Related Side Effects and Adverse Reactions
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Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVE: To select, present, and summarize the best papers in the field of Knowledge Representation and Management (KRM) published in 2019.
Semantic Web Knowledge Bases Humans Biological Ontologies Electronic Health Records Knowledge Management Databases, Genetic
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Ontologies, Knowledge Representation, and Machine Learning for Translational Research: Recent Contributions.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: To select, present, and summarize the most relevant papers published in 2018 and 2019 in the field of Ontologies and Knowledge Representation, with a particular focus on the intersection between Ontologies and Machine Learning.
Biological Ontologies Knowledge Management Humans Translational Research, Biomedical Artificial Intelligence Data Mining Machine Learning Electronic Health Records Natural Language Processing
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Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology.

Journal of biomedical semantics Aug 20, 2020
BACKGROUND: A key challenge for improving the quality of health care is to be able to use a common framework to work with patient information acquired in any of the health and life science disciplines. Patient information collected during dental care...
Oral Health Biological Ontologies Disease Electronic Health Records
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Identifying disease trajectories with predicate information from a knowledge graph.

Journal of biomedical semantics Aug 20, 2020
BACKGROUND: Knowledge graphs can represent the contents of biomedical literature and databases as subject-predicate-object triples, thereby enabling comprehensive analyses that identify e.g. relationships between diseases. Some diseases are often dia...
Disease Computer Graphics Semantics Biological Ontologies Humans ROC Curve Information Storage and Retrieval
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Biomedical Holistic Ontology for People with Rare Diseases.

International journal of environmental research and public health Aug 19, 2020
This research provides a biomedical ontology to adequately represent the information necessary to manage a person with a disease in the context of a specific patient. A bottom-up approach was used to build the ontology, best ontology practices descri...
Humans Biological Ontologies Rare Diseases
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Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsia Aug 7, 2020
Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene...
Humans Deep Learning Big Data Wearable Electronic Devices Brain Electronic Health Records Biomedical Research Research Support as Topic Electrocorticography Societies, Medical Common Data Elements Information Dissemination Advisory Committees Biological Ontologies Neuroimaging Computer Security Epilepsy Stakeholder Participation Smartphone Confidentiality Genomics Telemedicine
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BIOINTMED: integrated biomedical knowledge base with ontologies and clinical trials.

Medical & biological engineering & computing Jul 24, 2020
Biomedical data are complex and heterogeneous. An ample reliable quantity of data is important for understanding and exploring the domain. The work aims to integrate biomedical data from various heterogeneous sources like dictionaries or corpus and a...
Knowledge Bases Databases, Protein Biological Ontologies Databases, Chemical Drug Interactions Humans Clinical Trials as Topic Databases, Pharmaceutical Drug-Related Side Effects and Adverse Reactions Models, Statistical Toxicogenetics
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BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint.

BMC bioinformatics Jul 23, 2020
BACKGROUND: Managing and organizing biological knowledge remains a major challenge, due to the complexity of living systems. Recently, systemic representations have been promising in tackling such a challenge at the whole-cell scale. In such represen...
Metabolism Biological Ontologies Enzymes Databases, Factual Knowledge Bases
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Developing a neurally informed ontology of creativity measurement.

NeuroImage Jul 16, 2020
A central challenge for creativity research-as for all areas of experimental psychology and cognitive neuroscience-is to establish a mapping between constructs and measures (i.e., identifying a set of tasks that best captures a set of creative abilit...
Proof of Concept Study Neuropsychological Tests Creativity Meta-Analysis as Topic Models, Biological Biological Ontologies Magnetic Resonance Imaging Brain Mapping Adult Humans Male Brain Middle Aged Female
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