17Jul 2022
Unsupervised Clustering of Olfactory Phenotypes

Unsupervised Clustering of Olfactory Phenotypes

Current clinical classifications of olfactory function are based primarily upon a percentage of correct answers in olfactory identification testing. This simple classification provides little insight into etiologies of olfactory loss, associated comorbidities, or impact on the quality of life (QOL). Unsupervised clustering was performed based on T, D, I, and MMSE. Post hoc differences in demographics, comorbidities, and QOL measures were assessed. Unsupervised clustering based on detailed olfactory and cognitive testing results in clinical phenotypes with unique risk factors and QOL impacts. These clusters may provide additional information regarding etiologies and subsequent therapies to treat olfactory loss.

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