Shanthoshigaa D

Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection

This paper introduces a novel system for in-home cognitive health assessment using ambient sensors and a machine learning technology that can robustly detect mild cognitive impairment (MCI) despite limited available data. The learned model can explain the aspects of individuals