Deep learning for early detection of mild cognitive impairment using smart home ambient sensor data

The TCN-CL, pretrained on a larger dataset, offered a robust approach for early cognitive decline detection using smart home ambient sensors. Continuous monitoring of subtle behavioral patterns through ambient sensor data holds potential to complement and enhance clinical decision-making, enabling accurate and timely diagnoses.