Differential Diagnosis of Erythemato-Squamous Diseases Machine Learning Application

This report is about the implementation of a visual tool for Differential Diagnosis of Erythemato-Squamous Diseases based on the classification algorithms; Nearest Neighbor Classifier (NN), Naive Bayesian Classifier using Normal Distribution (NBCN) and Voting Feature Intervals-5 (VFI5). This tool enables the doctors to perform all the necessary operations occurring in the dermatology department of a hospital. 3 TABLE OF CONTENTS 1 INTRODUCTION ...................................................................................................... 4 2 PROBLEM DESCRIPTION ..................................................................................... 4 2.1 WHAT IS DIFFERENTIAL DIAGNOSIS? .............................................................................................. 4 3 SOLUTION ALGORITHMS .................................................................................... 5 3.1 THE NEAREST NEIGHBOR CLASSIFIER ALGORITHM ............................................