Model development
diabetes
REGRESSION, DIABETES
Three radiomics prediction models, logistic regression (LR), support vector machine (SVM) and random forest (RF), were applied. The best performing model was adopted, and the radiomics score (Radscore) was then computed.At the same time, we constructed a model based on clinical and CT features for the multivariate logistic regression analysis. The clinical features included sex, age, smoking status, and diabetes history. The CT features are illustrated above.Finally, three models, the clinical model, radiomics model and the combined model based on the clinical factors and radiomics features, were compared statistically to identify the model with the highest predictability.