The paper introduces the realization process of the assistant diagnosis method of Psoriasis(PS) based on Support Vector Machine (SVM), including data collection and preprocessing, data base construction, feature extraction, and the building of assistant diagnosis model based on SVM. The effectiveness of the method is verified by experiments. The diagnosis accuracy of the method is relatively high, which can provide technical support for data analysis and disease prevention of psoriasis.