SHH and Hydrocephalus: Moreover, by combining the 11 radiomics features, location, hydrocephalus, gender, and age, the resulting RLHC model predicted WNT and SHH with further improved AUCs of 0.9097 and 0.8654, respectively, while the overall accuracy for predicting Group 3 and Group 4 was improved to 70 and 86.67%, respectively, as shown in Table 4.