AIMC Topic: Biological Ontologies

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HeNeCOn: An ontology for integrative research in Head and Neck cancer.

International journal of medical informatics
BACKGROUND: Head and Neck Cancer (HNC) has a high incidence and prevalence in the worldwide population. The broad terminology associated with these diseases and their multimodality treatments generates large amounts of heterogeneous clinical data, wh...

Context-based refinement of mappings in evolving life science ontologies.

Journal of biomedical semantics
BACKGROUND: Biomedical computational systems benefit from ontologies and their associated mappings. Indeed, aligned ontologies in life sciences play a central role in several semantic-enabled tasks, especially in data exchange. It is crucial to maint...

Analysis and implementation of the DynDiff tool when comparing versions of ontology.

Journal of biomedical semantics
BACKGROUND: Ontologies play a key role in the management of medical knowledge because they have the properties to support a wide range of knowledge-intensive tasks. The dynamic nature of knowledge requires frequent changes to the ontologies to keep t...

Infrastructure tools to support an effective Radiation Oncology Learning Health System.

Journal of applied clinical medical physics
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the quality of care by integrating clinical, dosimetry, treatment delivery, research data in real-time. This paper describes a novel set of tools to suppor...

Multi-domain knowledge graph embeddings for gene-disease association prediction.

Journal of biomedical semantics
BACKGROUND: Predicting gene-disease associations typically requires exploring diverse sources of information as well as sophisticated computational approaches. Knowledge graph embeddings can help tackle these challenges by creating representations of...

Improving the classification of cardinality phenotypes using collections.

Journal of biomedical semantics
MOTIVATION: Phenotypes are observable characteristics of an organism and they can be highly variable. Information about phenotypes is collected in a clinical context to characterize disease, and is also collected in model organisms and stored in mode...

Semantically enabling clinical decision support recommendations.

Journal of biomedical semantics
BACKGROUND: Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations are typically derived ...

Self-prediction of relations in GO facilitates its quality auditing.

Journal of biomedical informatics
As applications of the gene ontology (GO) increase rapidly in the biomedical field, quality auditing of it is becoming more and more important. Existing auditing methods are mostly based on rules, observed patterns or hypotheses. In this study, we pr...

Features of a FAIR vocabulary.

Journal of biomedical semantics
BACKGROUND: The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear. Being able to define FAIR vocabularies, identify feat...

Automated approach for quality assessment of RDF resources.

BMC medical informatics and decision making
INTRODUCTION: The Semantic Web community provides a common Resource Description Framework (RDF) that allows representation of resources such that they can be linked. To maximize the potential of linked data - machine-actionable interlinked resources ...