Construction method of spontaneous cerebral hemorrhage recurrence detection model

The invention relates to a method for constructing a spontaneous cerebral hemorrhage recurrence detection model. The method comprises the following steps: acquiring baseline clinical data and images of a plurality of spontaneous cerebral hemorrhage confirmed testees within 6 hours when symptoms appear; and extracting clinical independent predictive factors related to recurrent cerebral hemorrhage from the baseline clinical data, and constructing a baseline clinical data marker model by using the clinical independent predictive factors. And extracting radiomics characteristics related to the recurrent cerebral hemorrhage from the image, and constructing a radiomics marker model by using the radiomics characteristics. And importing the clinical independent predictive factor and the baseline clinical data marker model into a logistic regression model, and detecting the logistic regression model to generate a spontaneous cerebral hemorrhage recurrence detection model. The spontaneous cerebral hemorrhage recurrenc