Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus

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].