A Comparative Analysis of Machine Learning Models and Data Sources towards Effective Skin Disease Prediction

The human body consists of several organs and skin is the largest organ that covers human body.Any disorder that affects skin is known as skin disease.The main causes of skin lesion are bacteria, virus, fungal infections and some genetic factors.The accurate diagnosis of skin conditions is crucial for effective treatment and management.Dermatologist rely heavily on visual inspection and physical examination to identify and differentiate between various skin disease.This paper is highlighting frequently used datasets and figuring out the gaps, listing out existing machine learning algorithms and their accuracy.This paper gives the clear view of many algorithms' efficiency and limitations in existing approaches.