AIMC Topic: Biological Ontologies
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Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies.
Scientific reports
Mar 11, 2019
Data are increasingly annotated with multiple ontologies to capture rich information about the features of the subject under investigation. Analysis may be performed over each ontology separately, but recently there has been a move to combine multipl...
Drivers for the development of an Animal Health Surveillance Ontology (AHSO).
Preventive veterinary medicine
Mar 9, 2019
Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to integration and interoperability among systems when data emerge from different sources. Discussions with syndromic surveillance experts in the fields ...
Levels and building blocks-toward a domain granularity framework for the life sciences.
Journal of biomedical semantics
Jan 28, 2019
BACKGROUND: With the emergence of high-throughput technologies, Big Data and eScience, the use of online data repositories and the establishment of new data standards that require data to be computer-parsable become increasingly important. As a conse...
Development of a cardiac-centered frailty ontology.
Journal of biomedical semantics
Jan 18, 2019
BACKGROUND: A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to assess patient frailty. Frailty is an important consideration when making patient treatment decisions, particularly in older adults, those with a cardiac ...
A scoping review of ontologies related to human behaviour change.
Nature human behaviour
Jan 14, 2019
Ontologies are classification systems specifying entities, definitions and inter-relationships for a given domain, with the potential to advance knowledge about human behaviour change. A scoping review was conducted to: (1) identify what ontologies e...
An ontological foundation for ocular phenotypes and rare eye diseases.
Orphanet journal of rare diseases
Jan 9, 2019
BACKGROUND: The optical accessibility of the eye and technological advances in ophthalmic diagnostics have put ophthalmology at the forefront of data-driven medicine. The focus of this study is rare eye disorders, a group of conditions whose clinical...
BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies.
BMC bioinformatics
Jan 7, 2019
BACKGROUND: Recent studies have proposed deep learning techniques, namely recurrent neural networks, to improve biomedical text mining tasks. However, these techniques rarely take advantage of existing domain-specific resources, such as ontologies. I...
OMeta: an ontology-based, data-driven metadata tracking system.
BMC bioinformatics
Jan 7, 2019
BACKGROUND: The development of high-throughput sequencing and analysis has accelerated multi-omics studies of thousands of microbial species, metagenomes, and infectious disease pathogens. Omics studies are enabling genotype-phenotype association stu...
NMR-STAR: comprehensive ontology for representing, archiving and exchanging data from nuclear magnetic resonance spectroscopic experiments.
Journal of biomolecular NMR
Dec 22, 2018
The growth of the biological nuclear magnetic resonance (NMR) field and the development of new experimental technology have mandated the revision and enlargement of the NMR-STAR ontology used to represent experiments, spectral and derived data, and s...
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