The paper introduces the prediction methods and process of the incidence of ischemic stroke based on logistic regression model, including collecting and cleaning data, building big data platform, extracting prediction features, building a logistic regression-based model, etc., and verifies the effectiveness of this method through simulation experiment, which provides technical support for data analysis and disease prevention of stroke.