Additional file 1 of Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts

Baskozos, Georgios; Themistocleous, Andreas C.; Hebert, Harry L.; Pascal, Mathilde M. V.; John, Jishi; Callaghan, Brian C.; Laycock, Helen; Granovsky, Yelena; Crombez, Geert; Yarnitsky, David; Rice, Andrew S. C.; Smith, Blair H.; Bennett, David L. H.

doi:10.6084/m9.figshare.19923357.v1

12911_2022_1890_MOESM1_ESM.pdf (1.6 MB)

Additional file 1 of Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts

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posted on 2022-05-30, 09:19 authored by Georgios Baskozos, Andreas C. Themistocleous, Harry L. Hebert, Mathilde M. V. Pascal, Jishi John, Brian C. Callaghan, Helen Laycock, Yelena Granovsky, Geert Crombez, David Yarnitsky, Andrew S. C. Rice, Blair H. Smith, David L. H. Bennett

Additional file 1. Supplemental figures and tables.

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Diabetes UK Medical Research Council Versus Arthritis H2020 European Research Council

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Diabetic neuropathy Neuropathic pain Machine learning Risk factors Predictive modelling

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Additional file 1 of Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts

Funding

Diabetes UK Medical Research Council Versus Arthritis H2020 European Research Council

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