Description

Human’s hand nail is analyzed to identify many diseases at early stage of diagnosis. Study of person hand nail color helps in identification of particular disease in healthcare domain. The proposed system guides in such scenario to take decision in disease diagnosis. The input to the proposed system is person nail image. The system will process an image of nail and extract features of nail which is used for disease diagnosis. The system is developed the different classification algorithms such as CNN and Random Forest for classifying the different types of disease. The experimental results shows that some performance metrics such as accuracy and error rate.