Figure 2 | Scientific Reports

Figure 2

From: Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA

Figure 2

Steps to create and test MUQUBIA. (a) Images of 506 subjects were processed to obtain the full set of features. (b) Missing values were replaced with median values. (c) The data were split into training set (70% of the subjects) and test set (30%) to avoid any bias in the selection of features and in the classification performance. (d) Values were standardized. (e) The full set of features was pruned to avoid overfitting using a bidirectional sequential feature selection approach. (f) The non-linear SVM model was built and fine-tuned on the training and validation sets, while being tested on the test set left aside. Acronyms: ft, features; MD, Mean Diffusivity; SVM, Support Vector Machine; WM, White Matter.

Back to article page