Clustering by periodontitis-associated factors: A novel application to NHANES data
{{output}}
Background: Unsupervised clustering is a method used to identify heterogeneity among groups and homogeneity within a group of patients. Without a prespecified outcome entry, the resulting model deciphers patterns that may not be ... ...
