Background: An estimated 46.7 million people aged 65 and older have Alzheimer’s or a related form of dementia. Because there is no cure, early detection and prediction of Alzheimer’s is viewed as the best strategy for initiating early treatment and managing the disease.
Objectives: Demonstrate the potential of using both unstructured telephone conversations and analytics to detect voice features predictive of Alzheimer’s.
