Design of AI in the Health and Elderly Care Service Platform in the Big Data Environment

This electronic document is a “live.” This study aimed to explore the design of AI in the health and elderly care service platform under the big data environment, and analyze its impact on health and elderly care services. By comprehensively utilizing big data and artificial intelligence technology, the intelligent health and elderly care service platform can provide personalized health management, intelligent assisted diagnosis, real-time monitoring and warning, intelligent recommendation and guidance, and data-driven decision support. This study adopted the methods of literature review and experimental analysis to comprehensively analyze and summarize relevant literature and practical cases. The research results indicated that the response time of the platform in this article was between 13-21ms. In the big data environment, AI had significant advantages in the design of health and elderly care service platforms. Through personalized health management, the platform can provide customized health advice and management plans based on users' personal characteristics and health data, improving the accuracy and effectiveness of health management. Intelligent assisted diagnosis utilizes big data analysis and machine learning algorithms to provide doctors with reference for assisted diagnosis and treatment decision-making, improving diagnostic accuracy and efficiency.