Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.

79 páginas

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Fecha de publicación:: 2025

Institución:: Universidad de la Sabana

Repositorio:: Repositorio Universidad de la Sabana

Idioma:: eng

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spelling	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.Enfermedades respiratoriasTecnología de la informaciónDiagnóstico por computadoraInteligencia artificial en medicinaEnfermedad Pulmonar Obstructiva Crónica (EPOC)79 páginasDespite being the third leading cause of death globally, underdiagnosis and misdiagnosis of Chronic Obstructive Pulmonary Disease (COPD) remains a challenge. The current spirometric variables used for COPD diagnosis have limitations, and there is a need for better diagnostic tools, particularly in primary care settings.A pesar de ser la tercera causa de muerte a nivel mundial, el subdiagnóstico y el diagnóstico erróneo de la Enfermedad Pulmonar Obstructiva Crónica (EPOC) siguen siendo un desafío. Las variables espirométricas utilizadas actualmente para el diagnóstico de EPOC tienen limitaciones y se necesitan mejores herramientas diagnósticas, especialmente para la atención primaria.Universidad de La SabanaBotero Rosas, Daniel AlfonsoGiraldo Cadavid, Luis FernandoMaldonado Franco, Adriana2025-03-07T14:31:25Z2025-03-07T14:31:25Z2025-01-03Tesis/Trabajo de grado – DoctoradoTesis/Trabajo de grado – Doctoradoinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdfhttps://hdl.handle.net/10818/63916engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_16ecoai:intellectum.unisabana.edu.co:10818/639162025-10-15T22:17:26Z
dc.title.none.fl_str_mv	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.
title	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.
spellingShingle	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis. Enfermedades respiratorias Tecnología de la información Diagnóstico por computadora Inteligencia artificial en medicina Enfermedad Pulmonar Obstructiva Crónica (EPOC)
title_short	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.
title_full	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.
title_fullStr	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.
title_full_unstemmed	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.
title_sort	Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.
dc.contributor.none.fl_str_mv	Botero Rosas, Daniel Alfonso Giraldo Cadavid, Luis Fernando
dc.subject.none.fl_str_mv	Enfermedades respiratorias Tecnología de la información Diagnóstico por computadora Inteligencia artificial en medicina Enfermedad Pulmonar Obstructiva Crónica (EPOC)
topic	Enfermedades respiratorias Tecnología de la información Diagnóstico por computadora Inteligencia artificial en medicina Enfermedad Pulmonar Obstructiva Crónica (EPOC)
description	79 páginas
publishDate	2025
dc.date.none.fl_str_mv	2025-03-07T14:31:25Z 2025-03-07T14:31:25Z 2025-01-03
dc.type.none.fl_str_mv	Tesis/Trabajo de grado – Doctorado Tesis/Trabajo de grado – Doctorado info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_db06 info:eu-repo/semantics/doctoralThesis
status_str	acceptedVersion
dc.identifier.none.fl_str_mv	https://hdl.handle.net/10818/63916
url	https://hdl.handle.net/10818/63916
dc.language.none.fl_str_mv	eng
language	eng
dc.rights.none.fl_str_mv	Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_16ec
rights_invalid_str_mv	Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_16ec
dc.format.none.fl_str_mv	application/pdf application/pdf
dc.publisher.none.fl_str_mv	Universidad de La Sabana
publisher.none.fl_str_mv	Universidad de La Sabana
institution	Universidad de la Sabana
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_	1850009492293419008

Mathematical modelling of the Flow-volume curve obtained by spirometry that, by using machine-learning, allows improving COPD underdiagnosis.

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