In simulated data and health records, latent class analysis was the optimum multimorbidity clustering algorithm

BACKGROUND AND OBJECTIVES: To investigate the reproducibility and validity of latent class analysis (LCA) and hierarchical cluster analysis (HCA), multiple correspondence analysis followed by k-means (MCA-kmeans) and k-means (kmeans) for multimorbidity clustering. METHODS: We first investigated clus...

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Detalles Bibliográficos
Autores principales: Nichols, Linda, Taverner, Tom, Crowe, Francesca, Richardson, Sylvia, Yau, Christopher, Kiddle, Steven, Kirk, Paul, Barrett, Jessica, Nirantharakumar, Krishnarajah, Griffin, Simon, Edwards, Duncan, Marshall, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613854/
https://www.ncbi.nlm.nih.gov/pubmed/36228971
http://dx.doi.org/10.1016/j.jclinepi.2022.10.011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613854/
https://www.ncbi.nlm.nih.gov/pubmed/36228971
http://dx.doi.org/10.1016/j.jclinepi.2022.10.011

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