A system architecture for smart health services and applications

Abstract

Given the increasing social needs for high-quality health and medical services at a low cost, smart health has gained significant attention as the leader in achieving national happiness and next-generation growth engine based on ICT convergence technology. To meet the needs of home and primary healthcare, this paper proposes an application scheme based on machine learning and similarity calculation algorithm for home and primary healthcare. Users can move freely at home at any time and obtain accurate human physiological parameters, good medical services, and personalized doctor recommendations. The scheme can be used for home and primary healthcare, and has good practical value.