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dc.contributor.author
García, Adolfo Martín
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dc.contributor.author
Escobar Grisales, Daniel
dc.contributor.author
Vásquez Correa, Juan Camilo
dc.contributor.author
Bocanegra, Yamile
dc.contributor.author
Moreno, Leonardo
dc.contributor.author
Carmona, Jairo
dc.contributor.author
Orozco Arroyave, Juan Rafael
dc.date.available
2023-07-28T15:18:13Z
dc.date.issued
2022-10
dc.identifier.citation
García, Adolfo Martín; Escobar Grisales, Daniel; Vásquez Correa, Juan Camilo; Bocanegra, Yamile; Moreno, Leonardo; et al.; Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories; Nature Research; npj Parkinson's Disease; 8; 163; 10-2022; 1-10
dc.identifier.uri
http://hdl.handle.net/11336/206010
dc.description.abstract
Action-concept outcomes are useful targets to identify Parkinson’s disease (PD) patients and differentiate between those with and without mild cognitive impairment (PD-MCI, PD-nMCI). Yet, most approaches employ burdensome examiner-dependent tasks, limiting their utility. We introduce a framework capturing action-concept markers automatically in natural speech. Patients from both subgroups and controls retold an action-laden and a non-action-laden text (AT, nAT). In each retelling, we weighed action and non-action concepts through our automated Proximity-to-Reference-Semantic-Field (P-RSF) metric, for analysis via ANCOVAs (controlling for cognitive dysfunction) and support vector machines. Patients were differentiated from controls based on AT (but not nAT) P-RSF scores. The same occurred in PD-nMCI patients. Conversely, PD-MCI patients exhibited reduced P-RSF scores for both texts. Direct discrimination between patient subgroups was not systematic, but it yielded best outcomes via AT scores. Our approach outperformed classifiers based on corpus-derived embeddings. This framework opens scalable avenues to support PD diagnosis and phenotyping.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Nature Research
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
PARKINSON'S DISEASE
dc.subject
ACTION SEMANTICS
dc.subject
NATURAL LANGUAGE PROCESSING
dc.subject
COGNITIVE PHENOTYPES
dc.subject.classification
Lingüística
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dc.subject.classification
Lengua y Literatura
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dc.subject.classification
HUMANIDADES
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dc.subject.classification
Psicología
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dc.subject.classification
Psicología
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dc.subject.classification
CIENCIAS SOCIALES
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dc.title
Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-27T14:37:23Z
dc.identifier.eissn
2373-8057
dc.journal.volume
8
dc.journal.number
163
dc.journal.pagination
1-10
dc.journal.pais
Alemania
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dc.description.fil
Fil: García, Adolfo Martín. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cuyo. Facultad de Educación Elemental y Especial; Argentina
dc.description.fil
Fil: Escobar Grisales, Daniel. Universidad de Antioquia; Colombia
dc.description.fil
Fil: Vásquez Correa, Juan Camilo. Universidad de Antioquia; Colombia
dc.description.fil
Fil: Bocanegra, Yamile. Universidad de Antioquia; Colombia
dc.description.fil
Fil: Moreno, Leonardo. Hospital Pablo Tobón Uribe; Colombia
dc.description.fil
Fil: Carmona, Jairo. Universidad de Antioquia; Colombia
dc.description.fil
Fil: Orozco Arroyave, Juan Rafael. Universidad de Antioquia; Colombia
dc.journal.title
npj Parkinson's Disease
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41531-022-00422-8
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1038/s41531-022-00422-8
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