SINEW Monthly Biomarker Dataset

The SINEW (Sensors in Home for Elderly Wellbeing) dataset consists of high-level biomarker features, derived from raw sensor readings collected by in-home sensors, comprising up to 15 distinct biomarkers used for predictive modeling research: SINEW Monthly Biomarker. This dataset was collected for a study focused on the early detection of mild cognitive impairment, providing an opportunity for timely intervention before it progresses to Alzheimer's disease.