  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.
