Mixed‐Methods Clustering of Multi‐source Data to Identify Population Subgroups Based on BMI‐Associated Variables
This study aims to assess a healthcare informatics‐driven analytical approach for uncovering BMI‐related population subgroups in a large multi‐source health dataset using variable selection, dimensionality reduction, and clustering, to support tailored health behavior interventions.
Résiliable à tout moment · 99 $ CA/mois


