Publicación:
Integrative Base Ontology for the Research Analysis of Alzheimer’s Disease-Related Mild Cognitive Impairment

dc.contributor.authorGómez-Valades Batanero, Alba
dc.contributor.authorMartínez Tomás, Rafael
dc.contributor.authorRincón Zamorano, Mariano
dc.date.accessioned2024-05-20T11:42:39Z
dc.date.available2024-05-20T11:42:39Z
dc.date.issued2021-02-04
dc.description.abstractEarly detection of mild cognitive impairment (MCI) has become a priority in Alzheimer’s disease (AD) research, as it is a transitional phase between normal aging and dementia. However, information on MCI and AD is scattered across different formats and standards generated by different technologies, making it difficult to work with them manually. Ontologies have emerged as a solution to this problem due to their capacity for homogenization and consensus in the representation and reuse of data. In this context, an ontology that integrates the four main domains of neurodegenerative diseases, diagnostic tests, cognitive functions, and brain areas will be of great use in research. Here, we introduce the first approach to this ontology, the Neurocognitive Integrated Ontology (NIO), which integrates the knowledge regarding neuropsychological tests (NT), AD, cognitive functions, and brain areas. This ontology enables interoperability and facilitates access to data by integrating dispersed knowledge across different disciplines, rendering it useful for other research groups. To ensure the stability and reusability of NIO, the ontology was developed following the ontology-building life cycle, integrating and expanding terms from four different reference ontologies. The usefulness of this ontology was validated through use-case scenarios.en
dc.description.versionversión publicada
dc.identifier.doihttp://doi.org/10.3389/fninf.2021.561691
dc.identifier.issn1662-5196
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12451
dc.journal.titleFrontiers in Neuroinformatics
dc.journal.volume15
dc.language.isoen
dc.publisherFrontiers
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subject.keywordsontology
dc.subject.keywordsMCI
dc.subject.keywordsAlzheimer’s disease
dc.subject.keywordsneuropsychological tests
dc.subject.keywordsneurodegenerative disease
dc.subject.keywordsontology design
dc.titleIntegrative Base Ontology for the Research Analysis of Alzheimer’s Disease-Related Mild Cognitive Impairmentes
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublication05104596-1880-4adc-8bfd-cf92aa718ee0
relation.isAuthorOfPublicationc87ba267-e907-4b5f-ad5f-319c1cb3d3cd
relation.isAuthorOfPublication06a389cc-435e-4713-a8d7-8350f08ea1a8
relation.isAuthorOfPublication.latestForDiscovery05104596-1880-4adc-8bfd-cf92aa718ee0
Archivos
Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Martinez_Tomas_Rafael_Integrative_Base_Ontolo.pdf
Tamaño:
1.96 MB
Formato:
Adobe Portable Document Format