Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts.

questionnaire based phenotyping and clinical examination, the marginally non-significant test for the training dataset and the visual assessment of missing values pairs plot indicate that missing data is likely to be MAR and thus can be robustly imputed using multiple imputation.

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