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

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...

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Autores principales: Alvarez, Candelaria, Ibeas, José, Balladini, Javier, Suppi, Remo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Informáticas
CKD
Agent-based modeling
High-performance simulation
Decision support system
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/155419
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-155419
record_format dspace
spelling I19-R120-10915-1554192023-07-11T20:01:42Z http://sedici.unlp.edu.ar/handle/10915/155419 isbn:978-950-34-2271-7 Modelling chronic kidney disease progression using ABM: a work in progress Alvarez, Candelaria Ibeas, José Balladini, Javier Suppi, Remo 2023-06 2023 2023-07-11T17:04:44Z en Ciencias Informáticas CKD Agent-based modeling High-performance simulation Decision support system 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 Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 8-12
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
CKD
Agent-based modeling
High-performance simulation
Decision support system
spellingShingle Ciencias Informáticas
CKD
Agent-based modeling
High-performance simulation
Decision support system
Alvarez, Candelaria
Ibeas, José
Balladini, Javier
Suppi, Remo
Modelling chronic kidney disease progression using ABM: a work in progress
topic_facet Ciencias Informáticas
CKD
Agent-based modeling
High-performance simulation
Decision support system
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.
format Objeto de conferencia
Objeto de conferencia
author Alvarez, Candelaria
Ibeas, José
Balladini, Javier
Suppi, Remo
author_facet Alvarez, Candelaria
Ibeas, José
Balladini, Javier
Suppi, Remo
author_sort Alvarez, Candelaria
title Modelling chronic kidney disease progression using ABM: a work in progress
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
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/155419
work_keys_str_mv AT alvarezcandelaria modellingchronickidneydiseaseprogressionusingabmaworkinprogress
AT ibeasjose modellingchronickidneydiseaseprogressionusingabmaworkinprogress
AT balladinijavier modellingchronickidneydiseaseprogressionusingabmaworkinprogress
AT suppiremo modellingchronickidneydiseaseprogressionusingabmaworkinprogress
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