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Individuals can be classified into clusters by their specific responses to the neuropathy assessments and only a few assessment items may be needed to identify neuropathy cases. Using data-driven clustering and feature extraction algorithms may help arrive at a consensus on assessing neuropathy.
distance-hclust.R
, famd.R
, and plan.R
files.