Classification of Dermatology Diseases through Bayes net and Best First Search

Abstract: In this world near about 1/7th of total world population suffer from some sort of skin disorder. The study of different types of skin disease or disorder is known as Dermatology. There are six different categories of skin diseases which shares somewhat same features. So for the classification of these diseases bayes net a Bayesian technique along with feature selection has been used in this study. Performance of all model are calculated using some measures like accuracy, sensitivity, and specificity. Model is tested from dermatology dataset downloaded from UCI repository site. After eliminating 20 features from dataset 99.31% of accuracy is achieved.

Keywords: Dermatology, Bayesian Technique, Feature selection, Best First Search.