Fig. 16: The Process of Developing AI Models for Alzheimer’s Disease Digital Biomarkers.
From: Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review
a Recruiting Alzheimer’s disease patient samples to form the study cohort. b Collecting data from multiple devices, including wearables, smartphones, and others. c Using sensors, mobile applications, and other tools to acquire various digital biomarker data. d Extracting and analyzing feature data such as movement, speech, eye movement, and physiological signals. e Selecting appropriate machine learning and AI algorithms to train predictive models. f Applying the models for disease classification and prediction, aiding in early detection and management.
