Research on Smart Elderly Care Health Monitoring System Based on Data Analysis Algorithm

With the development of society, people have higher and higher requirements for living standards, and at the same time, the problem of aging in our country is becoming more and more serious. In such an era with a large population base, good economic conditions and a variety of pension options, our country's pension problem is particularly prominent. The physical and mental health of the elderly often brings a huge burden to the society. Therefore, how to effectively utilize these resources has become an important issue that needs to be considered and solved. Smart city is a new type of community construction model and management concept. It integrates traditional public medical service system and advanced information technology to provide more humanized, convenient and safe services for the elderly while meeting the needs of the elderly. This paper takes the smart elderly care health monitoring system as the research object, and introduces it in detail in combination with the current development status of smart community construction. Firstly, a data analysis algorithm based on the decision tree algorithm is proposed to build a complete, efficient, safe and reliable smart city integrated management system, and the data analysis based on the decision tree algorithm is analyzed and studied. Secondly, the related technologies implemented by this system are described. Finally, the design and implementation of the smart old-age health monitoring system are studied.