Use of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles

Abstract

The findings suggest that highly medically complex patient populations may be categorized into distinct patient profiles that are amenable to varying strategies for resource allocation and coordinated care interventions.