TY - CHAP
T1 - Data-Driven Model for Chronic Kidney Disease Progression
T2 - A Work in Progress
AU - Alvarez, Candelaria
AU - Suppi, Remo
AU - Ibeas, Jose
AU - Balladini, Javier
N1 - Publisher Copyright:
© 2024 Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024. All rights reserved.
PY - 2024/10/25
Y1 - 2024/10/25
N2 - In medicine, data-driven models can be used to simulate disease progression and generate clinical decision support systems (CDSS). While artificial intelligence (AI) and machine learning (ML) models are common, their lack of traceability poses challenges in medical contexts, where transparency is crucial. This study aims to create a traceable data-driven model for Chronic Kidney Disease (CKD) progression without using AI or ML. The study will develop and validate a simulator based on this model with real-world data. This paper describes the development of the model, the processing of CKD patient data, the implementation of the simulator, and the validation of results.
AB - In medicine, data-driven models can be used to simulate disease progression and generate clinical decision support systems (CDSS). While artificial intelligence (AI) and machine learning (ML) models are common, their lack of traceability poses challenges in medical contexts, where transparency is crucial. This study aims to create a traceable data-driven model for Chronic Kidney Disease (CKD) progression without using AI or ML. The study will develop and validate a simulator based on this model with real-world data. This paper describes the development of the model, the processing of CKD patient data, the implementation of the simulator, and the validation of results.
KW - chronic kidney disease
KW - Data-driven model
KW - simulation
UR - https://www.scopus.com/pages/publications/85210232399
UR - https://www.mendeley.com/catalogue/7aa67b1e-8c9d-3b08-9292-597ac05df8b0/
UR - https://portalrecerca.uab.cat/en/publications/01b54ae4-a028-461a-a97e-127f51e83260
M3 - Chapter
AN - SCOPUS:85210232399
SN - 9789492859334
T3 - Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024
SP - 110
EP - 113
BT - Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024
A2 - Nunez-Gonzalez, Jose David
A2 - Grana Romay, Manuel
A2 - Geril, Philippe
ER -