Diagnosing common skin diseases using soft computing techniques

摘要: In today’s word skin diseases and lesions have become one among the most common that people suffer across various age groups. Typical illnesses throughout world more particularly in developing countries are Bacterial Skin infections, Fungal infection, Eczema Scabies. Identification of influential clinical symptoms help diagnosis these early phase illness would aid designing effective public health management. Keeping this as our main objective, paper describes two predictive models for multiclass classification problem. The developed using popular soft computing techniques namely Artificial Neural Network Support Vector Machine. These approaches applied on multi class dataset some comparative inferences generated F-scores.