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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:J Clin Epidemiol
Autors principals: Nichols, Linda, Taverner, Tom, Crowe, Francesca, Richardson, Sylvia, Yau, Christopher, Kiddle, Steven, Kirk, Paul, Barrett, Jessica, Nirantharakumar, Krishnarajah, Griffin, Simon, Edwards, Duncan, Marshall, Tom
Format: Artigo
Idioma:Inglês
Publicat: 2022
Matèries:
Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7613854/
https://ncbi.nlm.nih.gov/pubmed/36228971
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jclinepi.2022.10.011
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars