model 1: 20 variables; model 2: 10 variables; 1Youden Index method, 2Cut-off at LR− 0.12, 3Cut-off at LR+ 4.93. Results of the models'diagnostic performances at predefined cut-off points.
Accuracy, specificity and sensitivity obtained by the Neural Network (NN), Logistic Regression (LR), Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms, for each of the four clinica
Multivariate analyses performed by using a stepwise logistic regression model to identify the risk factors for malignant results in patients who had neck LNs with indeterminate cytology.
Diagnosis of glioma into the hierarchy of human brain development would greatly facilitate mechanistic studies and clinical services in combating glioma. By analysing the multi-dimension big data of g
