DigiAD Viewer
A web application to explore connections between digital and clinical measures in Alzheimer's Disease
In this work, we evaluated a smartphone based virtual reality game, resulting in an assessment of cognitive impairment. In addition, we analyzed the relationship between digital readouts and cognitive features like MMSE (Mini Mental State Examination) via one of our recently developed Artificial Intelligence (AI) approaches called Variational Autoencoder Modular Bayesian Networks (VAMBN). Application of VAMBN resulted into a network comprising Digital Markers (DM), MMSE sub scores, FAQ sub scores and demographic features. It thus allowed to disentangle and quantify the relationship between DMs and established clinical scores in a multivariate manner.
