Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis

Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis

Abstract This study presents a workflow for identifying and characterizing patients with Heart Failure (HF) and multimorbidity utilizing data from Electronic Health Records. Multimorbidity, the co-occurrence of two or more chronic conditions, poses a significant challenge on healthcare systems. None...

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Bibliographic Details
Main Authors: Catarina Martins, Bernardo Neves, Andreia Sofia Teixeira, Miguel Froes, Pedro Sarmento, Jaime Machado, Carlos A. Magalhães, Nuno A. Silva, Mário J. Silva, Francisca Leite
Format: Article
Language:English
Published: BMC 2024-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Cluster analysis
Disease subtyping
Heart failure
Multimorbidity
Phenotyping
Online Access:https://doi.org/10.1186/s12911-024-02497-0

Internet

https://doi.org/10.1186/s12911-024-02497-0

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