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

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

Background: Diabetic peripheral neuropathy (DSPN), a major form of diabetic neuropathy, is a complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is a very common and well-established field of research, its application in...

Full description

Bibliographic Details
Main Authors: Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Geetika Srivastava, Sawal Hamid Md Ali, Ahmad Ashrif A Bakar, Mohammad Arif Sobhan Bhuiyan
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Diagnostics
Subjects:
DSPN
ML
severity classification
machine learning
diabetic neuropathy
MNSI
Online Access:https://www.mdpi.com/2075-4418/11/5/801

Internet

https://www.mdpi.com/2075-4418/11/5/801

Similar Items