Soft clustering using real-world data for the identification of multimorbidity patterns in an elderly population: cross-sectional study in a Mediterranean population

OBJECTIVES: The aim of this study was to identify, with soft clustering methods, multimorbidity patterns in the electronic health records of a population ≥65 years, and to analyse such patterns in accordance with the different prevalence cut-off points applied. Fuzzy cluster analysis allows individu...

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Detalles Bibliográficos
Autores principales: Violán, Concepción, Foguet-Boreu, Quintí, Fernández-Bertolín, Sergio, Guisado-Clavero, Marina, Cabrera-Bean, Margarita, Formiga, Francesc, Valderas, Jose Maria, Roso-Llorach, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719769/
https://www.ncbi.nlm.nih.gov/pubmed/31471439
http://dx.doi.org/10.1136/bmjopen-2019-029594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719769/
https://www.ncbi.nlm.nih.gov/pubmed/31471439
http://dx.doi.org/10.1136/bmjopen-2019-029594

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