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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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| Publicado no: | J Clin Epidemiol |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2022
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| Assuntos: | |
| Acesso em linha: | 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 |
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