Healthcare Bots for Elderly Assistance Using Cloud-Driven Gradient Boosting Machines

As the world's population ages, there will be a greater need for creative methods to help the elderly maintain their independence and quality of life at home. This study investigates the feasibility of using healthcare bots powered by cloud-based Gradient Boosting Machines (GBM) to provide elderly people with individualized and timely support. The proposed system learns from each user's interactions and improves over time to better meet their specific requirements. Also, the cloud-based design ensures real-time updates and smooth interaction with different devices. Results show that the system is effective in improving the quality of geriatric support, promoting aging in place, and contributing to the creation of patient-centric healthcare solutions via a thorough review that includes user input and performance indicators. The results point to a potential direction for integrating Artificial Intelligence (AI), cloud computing, and healthcare to meet the issues of an aging population.