USING SUPERVISED MACHINE LEARNING METHODS TO IDENTIFY INDIVIDUALS AT RISK OF DEMENTIA

Abstract

There has been an increased interest in AI and machine learning based models in early detection and diagnosis of Alzheimer’s disease (AD) and Alzheimer’s disease related dementia (ADRD). However, there is a need for feasible tools to identify individuals at risk of AD/ADRD using machine learning methods that can be validated.

The paper