BME Frontiers / 2022 / Article / Tab 3

Research Article

Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus

Table 3

NPH prediction scores using various methods and features. All rows except the first row (Evan’s index) used a linear support vector machine for training and testing. The predictive models are trained and tested for 100 iterations using 5-fold cross-validation with randomized selection at each fold using scikit-learn, as explained in Pedregosa et al. [25].

Precision (train/test)Recall (train/test)

Evan’s index, thresholding8670
Volumetric features (model 1)//
Network properties (model 2)//
Volumetric features+network properties (model 3)//