The prediction models of anaphylactic disease

Abstract Investigating the effect of common allergens on allergic disease is very important for future human health. In this paper, we firstly propose the models for predicting the relationship between 39 common allergens and the joint level of total IgE and ECP. The joint level of total IgE and ECP is utilized to evaluate the order of severity for allergic disease. In particular, we employ the linear fitting method and deep learning method to obtain the models with high prediction accuracy, respectively. The validity of the proposed models can be verified by testing two other independent data sets from hospital diagnosis record. Additionally, we obtain some useful medical conclusions accordingly.