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Classification of Painful or Painless Diabetic Peripheral Neuropathy and Identification of the Most Powerful Predictors Using Machine Learning Models in Large Cross-sectional Cohorts 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 is a Health Professions article available to read on EtoBox.

What is Classification of Painful or Painless Diabetic Peripheral Neuropathy and Identification of the Most Powerful Predictors Using Machine Learning Models in Large Cross-sectional Cohorts about?

## Background To improve the treatment of painful Diabetic Peripheral Neuropathy (DPN) and associated co-morbidities, a better understanding of the pathophysiology and risk factors for painful DPN is required. Using harmonised cohorts (N = 1230) we have built models that classify painful versus painless DPN using quality of life (EQ5D), lifestyle (smoking, alcohol consumption), demographics (age, gender), personality and psychology traits (anxiety, depression, personality traits), biochemical (HbA1c) and clinical variables (BMI, hospital stay and trauma at young age) as predictors. ## Methods The Random Forest, Adaptive Regression Splines and Naive Bayes machine learning models were trained for classifying painful/painless DPN. Their performance was estimated using cross-validation in large cross-sectional cohorts (N = 935) and externally validated in a large population-based cohort (N = 295). Variables were ranked for importance using model specific metrics and marginal effects of predictors were aggregated and assessed at the global level. Model selection was carried out using the Mathews Correlation Coefficient (MCC) and model performance was quantified in the validation set usi

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Author

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

Publisher

Springer Science and Business Media LLC

Published

2022

Language

EN

Field

Health Professions (Health Sciences)