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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:J Clin Epidemiol
Hlavní autoři: Nichols, Linda, Taverner, Tom, Crowe, Francesca, Richardson, Sylvia, Yau, Christopher, Kiddle, Steven, Kirk, Paul, Barrett, Jessica, Nirantharakumar, Krishnarajah, Griffin, Simon, Edwards, Duncan, Marshall, Tom
Médium: Artigo
Jazyk:Inglês
Vydáno: 2022
Témata:
Article
On-line přístup: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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky