Diabetic Tongue Classification Using Various Classifiers

There are several applications for Machine Learning (ML) and Deep Learning (DL), the most significant of which is in the medical field.  Image classification is one of the tasks most frequently carried out and so-called Intelligent Systems. 

Classifying the diabetic tongue these days becomes a big challenge. Thus, a large number of techniques have been developed based on Artificial Intelligence. This work describes various classification algorithms (KNN, SVM, Decision Tree, Logistic Regression, CNN) and the recent attempt for improving classification accuracy.

Keywords: Classifiers, Machine Learning, Deep Learning, Diabetic Tongue