Clustering by periodontitis-associated factors: A novel application to NHANES data.

Iya H Ghassib Feras A Batarseh Hom-Lay Wang Wenche S Borgnakke

Published in: Journal of periodontology (2021)

Clustering of NHANES demographic, systemic health, and socioeconomic data effectively identifies characteristics that are statistically significantly related to periodontitis status and hence detects subpopulations at high risk for periodontitis without costly clinical examinations.

Keyphrases

electronic health record
single cell
big data
healthcare
public health
rna seq
mental health
genome wide
gene expression
risk assessment
dna methylation
climate change
social media
artificial intelligence