Figure 4.

An overview of the step-by-step process by which machine learning and computer-aided diagnosis techniques process and analyze clinical and neuroimaging data to identify features associated with neurodegenerative diseases.

First, images and clinical data are processed, and features of interest are identified. Then, the identified features are extracted and cross-validated across data types. The machine learning model establishes patterns in the training dataset that can be used to classify or make predictions based on any comparable future dataset. Created with BioRender.com. MMSE: Mini-Mental State Examination.