Classi�cation of Painful or Painless Diabetic Peripheral Neuropathy and Identi�cation of the Most Powerful Predictors Using Machine Learning Models in Large Cross-Sectional Cohorts
Classi�cation of Painful or Painless Diabetic Peripheral Neuropathy and Identi�cation of the Most Powerful Predictors Using Machine Learning Models in Large Cross-Sectional Cohorts
Georgios Baskozos
2021
40 Citations
TLDR
The Random Forest, Adaptive Regression Splines and Naive Bayes machine learning models were trained for classifying painful/painless DPN and showed the smallest reduction in performance between the training and validation dataset.