Smart Elderly Care with Predictive AI Analytics
Authors:-Srinivas H S
Abstract-The growing elderly population worldwide presents significant challenges for healthcare systems, caregivers, and policymakers. With aging comes a higher risk of chronic conditions, cognitive decline, mobility issues, and social isolation. Traditional models of elder care are increasingly strained, leading to the need for intelligent, scalable, and proactive approaches. Predictive Artificial Intelligence (AI) analytics has emerged as a transformative solution in smart elderly care, leveraging data from various sources such as wearable sensors, home monitoring systems, electronic health records, and behavioral data to predict health events and enable timely interventions. This paper explores how predictive AI is reshaping elderly care by enhancing disease prevention, enabling fall detection and prediction, improving medication management, supporting cognitive health, and facilitating independent living. It also addresses ethical considerations, data privacy, system design challenges, and the future potential of AI in fostering a more responsive and dignified aging experience.
