Modelling chronic kidney disease progression using ABM: a work in progress

Autores
Alvarez, Candelaria; Ibeas, José; Balladini, Javier; Suppi, Remo
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Chronic kidney disease (CKD) is a major health problem worldwide. In Spain, the incidence of CKD has increased nearly 17% in ten years, from 2010 to 2020; and in 2020 it had a prevalence of 20% in adults over 60 years. This disease has some characteristics that make it complex; for instance, CKD has a late diagnosis, because the symptoms appear when it is already advanced, and they are not directly related to kidney problems. Furthermore, the causes of the disease are multiple; the most common are arterial hypertension and diabetes. In this context, we believe that simulation and agent-based modelling can provide new tools for assisting professionals in the decision-making process. Therefore, we are proposing the design of a model for CKD progression in order to predict the appearance of renal failure and its evolution in patients through the different states of the disease. Our work is divided into four main stages; and in this article, we present the tasks that have been carried out so far in the first stage which are related to data analysis to define the complexity of the problem.
Facultad de Informática
Materia
Ciencias Informáticas
CKD
Agent-based modeling
High-performance simulation
Decision support system
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/155419
Acceder
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network_name_str SEDICI (UNLP)
spelling Modelling chronic kidney disease progression using ABM: a work in progressAlvarez, CandelariaIbeas, JoséBalladini, JavierSuppi, RemoCiencias InformáticasCKDAgent-based modelingHigh-performance simulationDecision support systemChronic kidney disease (CKD) is a major health problem worldwide. In Spain, the incidence of CKD has increased nearly 17% in ten years, from 2010 to 2020; and in 2020 it had a prevalence of 20% in adults over 60 years. This disease has some characteristics that make it complex; for instance, CKD has a late diagnosis, because the symptoms appear when it is already advanced, and they are not directly related to kidney problems. Furthermore, the causes of the disease are multiple; the most common are arterial hypertension and diabetes. In this context, we believe that simulation and agent-based modelling can provide new tools for assisting professionals in the decision-making process. Therefore, we are proposing the design of a model for CKD progression in order to predict the appearance of renal failure and its evolution in patients through the different states of the disease. Our work is divided into four main stages; and in this article, we present the tasks that have been carried out so far in the first stage which are related to data analysis to define the complexity of the problem.Facultad de Informática2023-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf8-12http://sedici.unlp.edu.ar/handle/10915/155419enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2271-7info:eu-repo/semantics/reference/hdl/10915/155281info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:40:21Zoai:sedici.unlp.edu.ar:10915/155419Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:40:21.522SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Modelling chronic kidney disease progression using ABM: a work in progress
title Modelling chronic kidney disease progression using ABM: a work in progress
spellingShingle Modelling chronic kidney disease progression using ABM: a work in progress
Alvarez, Candelaria
Ciencias Informáticas
CKD
Agent-based modeling
High-performance simulation
Decision support system
title_short Modelling chronic kidney disease progression using ABM: a work in progress
title_full Modelling chronic kidney disease progression using ABM: a work in progress
title_fullStr Modelling chronic kidney disease progression using ABM: a work in progress
title_full_unstemmed Modelling chronic kidney disease progression using ABM: a work in progress
title_sort Modelling chronic kidney disease progression using ABM: a work in progress
dc.creator.none.fl_str_mv Alvarez, Candelaria
Ibeas, José
Balladini, Javier
Suppi, Remo
author Alvarez, Candelaria
author_facet Alvarez, Candelaria
Ibeas, José
Balladini, Javier
Suppi, Remo
author_role author
author2 Ibeas, José
Balladini, Javier
Suppi, Remo
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
CKD
Agent-based modeling
High-performance simulation
Decision support system
topic Ciencias Informáticas
CKD
Agent-based modeling
High-performance simulation
Decision support system
dc.description.none.fl_txt_mv Chronic kidney disease (CKD) is a major health problem worldwide. In Spain, the incidence of CKD has increased nearly 17% in ten years, from 2010 to 2020; and in 2020 it had a prevalence of 20% in adults over 60 years. This disease has some characteristics that make it complex; for instance, CKD has a late diagnosis, because the symptoms appear when it is already advanced, and they are not directly related to kidney problems. Furthermore, the causes of the disease are multiple; the most common are arterial hypertension and diabetes. In this context, we believe that simulation and agent-based modelling can provide new tools for assisting professionals in the decision-making process. Therefore, we are proposing the design of a model for CKD progression in order to predict the appearance of renal failure and its evolution in patients through the different states of the disease. Our work is divided into four main stages; and in this article, we present the tasks that have been carried out so far in the first stage which are related to data analysis to define the complexity of the problem.
Facultad de Informática
description Chronic kidney disease (CKD) is a major health problem worldwide. In Spain, the incidence of CKD has increased nearly 17% in ten years, from 2010 to 2020; and in 2020 it had a prevalence of 20% in adults over 60 years. This disease has some characteristics that make it complex; for instance, CKD has a late diagnosis, because the symptoms appear when it is already advanced, and they are not directly related to kidney problems. Furthermore, the causes of the disease are multiple; the most common are arterial hypertension and diabetes. In this context, we believe that simulation and agent-based modelling can provide new tools for assisting professionals in the decision-making process. Therefore, we are proposing the design of a model for CKD progression in order to predict the appearance of renal failure and its evolution in patients through the different states of the disease. Our work is divided into four main stages; and in this article, we present the tasks that have been carried out so far in the first stage which are related to data analysis to define the complexity of the problem.
publishDate 2023
dc.date.none.fl_str_mv 2023-06
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/155419
url http://sedici.unlp.edu.ar/handle/10915/155419
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2271-7
info:eu-repo/semantics/reference/hdl/10915/155281
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
8-12
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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