HAC Analysis to Explore Clusters within Chronic Comorbid Inpatient Visits

Abstract

Multimorbidities are associated with significant burden on the healthcare system and the lack of accurate and pertinent statistical exploratory techniques have often limited their analysis. Here we employ exploratory hierarchal agglomerative clustering (HAC) of multimorbidities in the inpatient population in the state of Ohio. The examination exposed the presence of ten discrete, clinically pertinent groups of multimorbidities within the Ohio inpatient population. This method offers an assessable empirical exploration of the multimorbidities present in a specific geographic populace.