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Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification.

Fahmida HaqueMamun Bin Ibne ReazMuhammad Enamul Hoque ChowdhuryGeetika SrivastavaSawal Hamid Bin Mohd AliAhmad Ashrif A BakarMohammad Arif Sobhan Bhuiyan
Published in: Diagnostics (Basel, Switzerland) (2021)
This study suggests that the RF algorithm-based classifier using all MNSI variables can help to predict the DSPN severity which will help to enhance the medical facilities for diabetic patients.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • big data
  • healthcare
  • type diabetes
  • functional connectivity
  • wound healing